Alternatives to TotalView

Scout Monitoring is Application Performance Monitoring that shows you what charts cannot. Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers even see them. Scout APM's real-time alerting system, developer-centric interface, and tracing logic, which ties bottlenecks to source code directly, helps you spend less time on debugging, and more time creating great products. With an agent that instrument the dependencies needed at a fraction the overhead, you can quickly identify, prioritize and resolve performance issues - memory bloats, N+1 queries and slow database queries. Scout APM monitors Ruby, PHP and Python applications.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Create dependable and optimized code that yields accurate results across various Server and HPC architectures, utilizing the latest compilers and C++ standards tailored for Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge integrates Arm DDT, recognized as the premier debugger that enhances high-performance application debugging efficiency, with Arm MAP, a reliable performance profiler that provides crucial optimization insights for both native and Python HPC codes, along with Arm Performance Reports for enhanced reporting features. Additionally, Arm DDT and Arm MAP can be used independently as standalone tools. With comprehensive technical support from Arm specialists, application development for Linux Server and HPC becomes highly efficient. Arm DDT is the preferred debugger for designing C++, C, or Fortran applications that are parallel and threaded, whether they run on CPUs or GPUs. Its robust and user-friendly graphical interface simplifies the identification of memory issues and divergent behaviors at any scale, solidifying Arm DDT's reputation as the leading debugger in research, industry, and educational institutions. This powerful toolkit not only boosts productivity but also contributes to the advancement of technical innovation across multiple domains.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk is a developer security platform that automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams.

IDA Pro serves as a powerful disassembler that generates execution maps to represent the binary instructions executed by the processor in a symbolic format, specifically assembly language. With the implementation of advanced techniques, IDA Pro is able to translate machine-executable code into assembly language source code, enhancing the readability of complex code. Additionally, its debugging feature incorporates dynamic analysis, allowing it to support various debugging targets and manage remote applications effectively. The tool's cross-platform debugging capabilities facilitate immediate debugging and provide easy connections to both local and remote processes, while also accommodating 64-bit systems and various connection options. Furthermore, IDA Pro empowers human analysts by allowing them to override its decisions or provide hints, ensuring a more intuitive and efficient analysis of binary code. This flexibility significantly enhances the analyst's ability to interact with the disassembler, making the process of analyzing intricate binaries not only more manageable but also more effective overall.

There is no requirement to modify your existing code or the construction methods employed. Profiling is essential for applications that operate across multiple servers and processes, providing transparent insights into performance bottlenecks related to I/O, computation, threading, and multi-process activities. It offers a comprehensive understanding of the types of processor instructions that can influence performance metrics. You can track memory usage trends over time, allowing you to identify peak usage levels and shifts across the entire memory landscape. Arm MAP stands out as a highly scalable, low-overhead profiler that can function independently or as part of the Arm Forge suite dedicated to debugging and profiling. This tool is invaluable for developers of server and high-performance computing (HPC) applications, as it uncovers the underlying reasons for sluggish performance, and it's applicable from multicore Linux workstations to advanced supercomputers. You can effectively profile the realistic test cases that matter most to you, typically incurring less than 5% runtime overhead. The user-friendly interactive interface is designed with clarity and ease of use in mind, catering specifically to the needs of developers and computational scientists alike, making it an essential resource in performance optimization.

High-performance computing (HPC) serves as a fundamental element for applications in AI, machine learning, and deep learning. The Intel® oneAPI HPC Toolkit (HPC Kit) equips developers with essential tools to create, analyze, enhance, and expand HPC applications by utilizing the most advanced methods in vectorization, multithreading, multi-node parallelization, and memory management. This toolkit is an essential complement to the Intel® oneAPI Base Toolkit, which is necessary to unlock its complete capabilities. Additionally, it provides users with access to the Intel® Distribution for Python*, the Intel® oneAPI DPC++/C++ compiler, a suite of robust data-centric libraries, and sophisticated analysis tools. You can obtain everything needed to construct, evaluate, and refine your oneAPI projects at no cost. By signing up for an Intel® Developer Cloud account, you gain 120 days of access to the latest Intel® hardware—including CPUs, GPUs, FPGAs—and the full suite of Intel oneAPI tools and frameworks. This seamless experience requires no software downloads, no configuration processes, and no installations, making it incredibly user-friendly for developers at all levels.

AWS ParallelCluster is a free, open-source tool designed for managing clusters that streamlines the deployment and oversight of High-Performance Computing (HPC) clusters within the AWS environment. It takes care of setting up necessary components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users can engage with ParallelCluster through different interfaces, including a graphical user interface, command-line interface, or API, which allows for adaptable configuration and management of clusters. Additionally, it works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal changes. Without any extra charges for the tool itself, users are only billed for the AWS resources their applications utilize. AWS ParallelCluster empowers users to model, provision, and dynamically adjust the resources required for their applications through a straightforward text file, enhancing automation and security in the process. This flexibility not only saves time but also optimizes resource management, making it an invaluable asset for researchers and organizations seeking to leverage cloud computing for their HPC needs.

The Lustre file system is a parallel, open-source file system designed to cater to the demanding requirements of high-performance computing (HPC) simulation environments often found in leadership class facilities. Whether you are part of our vibrant development community or evaluating Lustre as a potential parallel file system option, you will find extensive resources and support available to aid you. Offering a POSIX-compliant interface, the Lustre file system can efficiently scale to accommodate thousands of clients, manage petabytes of data, and deliver impressive I/O bandwidths exceeding hundreds of gigabytes per second. Its architecture includes essential components such as Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Lustre is specifically engineered to establish a unified, global POSIX-compliant namespace suited for massive computing infrastructures, including some of the largest supercomputing platforms in existence. With its capability to handle hundreds of petabytes of data storage, Lustre stands out as a robust solution for organizations looking to manage extensive datasets effectively. Its versatility and scalability make it a preferable choice for a wide range of applications in scientific research and data-intensive computing.

Arm DDT stands out as the premier server and HPC debugger utilized in research, industry, and academia by software engineers and scientists who are developing applications in C++, C, and Fortran that utilize parallel and threaded processes on a range of CPUs, GPUs, Intel, and Arm architectures. This tool is highly regarded for its ability to automatically identify memory issues and divergent behavior, enabling exceptional performance across various scales. It is designed to operate seamlessly across multiple servers and HPC systems, and it also supports native parallel debugging for Python applications. Alongside its industry-leading memory debugging capabilities, Arm DDT offers exceptional support for C++ and complete debugging for Fortran. Additionally, it includes an offline mode suitable for non-interactive debugging, effectively managing and visualizing large data sets. As a robust parallel debugger, Arm DDT can be utilized independently or as part of the Arm Forge debug and profile suite, and its user-friendly graphical interface further enhances its functionality by automatically detecting memory errors and divergent behaviors at all levels of application complexity. This comprehensive tool not only streamlines the debugging process but also significantly contributes to the optimization of scientific and engineering applications.

Azure's high-performance computing (HPC) capabilities enable groundbreaking innovations, tackle intricate challenges, and enhance your compute-heavy tasks. You can create and manage your most resource-demanding applications in the cloud using a comprehensive solution specifically designed for HPC needs. With Azure Virtual Machines, you gain access to supercomputing capabilities, seamless interoperability, and nearly limitless scalability for intensive computing requirements. Additionally, you can enhance decision-making processes and realize advanced AI potential through top-tier Azure AI and analytics services. Furthermore, Azure ensures the protection of your data and applications by implementing robust security measures and confidential computing techniques, all while facilitating regulatory compliance. This comprehensive approach allows organizations to focus on innovation while maintaining a secure and efficient cloud environment.

Amazon EC2 UltraClusters allow for the expansion to thousands of GPUs or specialized machine learning accelerators like AWS Trainium, granting immediate access to supercomputing-level performance. They make advanced computing accessible to developers in machine learning, generative AI, and high-performance computing through an easy pay-as-you-go system, eliminating the need for setup or maintenance expenses. UltraClusters are comprised of thousands of accelerated EC2 instances that are strategically placed within a specific AWS Availability Zone and are connected via Elastic Fabric Adapter (EFA) networking within a petabit-scale nonblocking network. This innovative setup delivers superior networking capabilities and access to Amazon FSx for Lustre, a fully managed shared storage solution built on a high-performance parallel file system, which facilitates the swift processing of large datasets with latencies measured in sub-milliseconds. Furthermore, EC2 UltraClusters enhance scale-out opportunities for distributed machine learning training and tightly integrated high-performance computing tasks, significantly minimizing training durations. Overall, this state-of-the-art infrastructure is designed to meet the demands of the most intensive computational projects.

AWS's High Performance Computing (HPC) offerings enable users to run extensive simulations and deep learning tasks in a cloud environment, delivering nearly limitless computational power, advanced file storage solutions, and high-speed networking capabilities. By providing a comprehensive suite of cloud tools, including capabilities for machine learning and data analysis, this service enhances innovation and facilitates the swift development and testing of new products. The efficiency of operations is significantly improved through the availability of on-demand computing resources, which allows users to concentrate on solving intricate challenges without being hindered by conventional infrastructure limitations. Among the various solutions offered by AWS HPC are the Elastic Fabric Adapter (EFA) for optimized networking with low latency and high bandwidth, AWS Batch for efficiently managing job scaling, AWS ParallelCluster for easy cluster setup, and Amazon FSx for robust file storage systems. Collectively, these offerings create a nimble and scalable framework designed to meet a wide array of HPC demands, ensuring that users can adapt swiftly to changing project requirements. This flexibility is crucial in a landscape where rapid technological advancement and competitive pressures are ever-present.

Arm Allinea Studio is a comprehensive collection of tools designed for the development of server and high-performance computing (HPC) applications specifically on Arm architecture. It includes specialized compilers and libraries tailored for Arm, along with debugging and optimization functionalities. The Arm Performance Libraries offer optimized core mathematical libraries that enhance the performance of high-performance computing applications running on Arm processors. These libraries provide routines accessible through both Fortran and C interfaces, ensuring versatility for developers. Furthermore, the Arm Performance Libraries leverage OpenMP across various routines, including BLAS, LAPACK, FFT, and sparse operations, to fully exploit the capabilities of multi-processor systems, thereby significantly boosting application performance. In addition to this, the suite also facilitates seamless integration and improved workflow, making it an essential toolset for developers in the HPC landscape.

The Ansys HPC software suite allows you to use today's multicore processors to run more simulations in a shorter time. These simulations can be larger, more complex, and more accurate than ever before thanks to high-performance computing (HPC). Ansys HPC licensing options allow you to scale to any computational level you require, including single-user or small-user groups options for entry-level parallel processing to virtually unlimited parallel capability. Ansys allows large groups to run parallel processing simulations that are highly scalable and can be used for even the most difficult projects. Ansys offers parallel computing solutions as well as parametric computing. This allows you to explore your design parameters (size and weight, shape, materials mechanical properties, etc.). Early in the product development process.

SourceDebug is a robust and efficient project-focused programming editor, code explorer, and debugging tool designed to enhance your understanding of code as you work and strategize. It features integrated dynamic analysis for languages such as C/C++ and Objective-C, making it versatile for various coding tasks. With SourceDebug, you can debug applications even when the source code is stored in different locations, ensuring flexibility in your workflow. The application seamlessly combines editing, browsing, compiling, and debugging functionalities for both local and remote projects. This tool is particularly useful for rapidly familiarizing yourself with an existing codebase, enabling a smooth transition to new projects. SourceDebug thoroughly analyzes your project, allowing for effortless navigation and code editing. You can quickly jump to variables, functions, or included files, enhancing productivity. The Smart Bookmark feature is a standout, as it records your browsing position for easy access later. Additionally, it supports debugging through GDB or LLDB-MI over various protocols such as SSH, ADB, Telnet, Rlogin, and Local Cygwin, with GDB server debugging also available. Users can show Quickwatch, Watches, Callstack, Variables, Memory, Breakpoint List, Disassemble, and Thread List as necessary. Furthermore, SourceDebug supports various storage solutions, including SFTP, FTP, and local drives, making it a comprehensive tool for developers. This versatility empowers programmers to tackle complex projects with ease and efficiency.

BMC Compuware Xpediter comprises a suite of debuggers and interactive analysis tools tailored for COBOL, Assembler, PL/I, and C programming languages, empowering developers to swiftly grasp application functionality, implement modifications, and resolve issues securely, even when they lack familiarity with the source code. This toolset facilitates a seamless entry into interactive testing sessions, allowing developers to advance applications into production with enhanced assurance. Users can experience line-by-line code execution while maintaining control over all facets of program execution and data management. By utilizing Code Coverage, developers can verify execution and access performance metrics across various platforms. Additionally, they can tap into Abend-AID diagnostic functions directly within a debugging session. The integration with Topaz for Program Analysis offers a visual representation of the source code, enhancing the debugging process. Furthermore, Topaz for Total Test allows for the creation of a robust collection of automated virtualized test cases. The ability to intercept and debug mainframe transactions that originate remotely adds another layer of flexibility and efficiency to the development workflow. Overall, Xpediter significantly streamlines the debugging process, making it easier for developers to achieve their goals.

The Nimbix Supercomputing Suite offers a diverse and secure range of high-performance computing (HPC) solutions available as a service. This innovative model enables users to tap into a comprehensive array of HPC and supercomputing resources, spanning from hardware options to bare metal-as-a-service, facilitating the widespread availability of advanced computing capabilities across both public and private data centers. Through the Nimbix Supercomputing Suite, users gain access to the HyperHub Application Marketplace, which features an extensive selection of over 1,000 applications and workflows designed for high performance. By utilizing dedicated BullSequana HPC servers as bare metal-as-a-service, clients can enjoy superior infrastructure along with the flexibility of on-demand scalability, convenience, and agility. Additionally, the federated supercomputing-as-a-service provides a centralized service console, enabling efficient management of all computing zones and regions within a public or private HPC, AI, and supercomputing federation, thereby streamlining operations and enhancing productivity. This comprehensive suite empowers organizations to drive innovation and optimize performance across various computational tasks.

AWS Parallel Computing Service (AWS PCS) provides a streamlined managed service designed for executing and scaling high-performance computing tasks while also facilitating the development of scientific and engineering models on the AWS platform using Slurm. This service allows users to create fully elastic environments that seamlessly incorporate computing, storage, networking, and visualization tools, liberating them from the complexities of infrastructure management and enabling a stronger focus on research and innovation. In addition, AWS PCS includes features for managed updates and built-in observability, which greatly improve the efficiency of cluster operations and maintenance. Users have the flexibility to construct and launch scalable, reliable, and secure HPC clusters via the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The service accommodates a wide range of applications, from tightly coupled workloads such as computer-aided engineering to high-throughput computing tasks like genomics analysis, as well as accelerated computing utilizing GPUs and specialized silicon like AWS Trainium and AWS Inferentia. Furthermore, by leveraging AWS PCS, organizations can ensure that they remain at the forefront of technological advancements in high-performance computing.

HPE Performance Cluster Manager (HPCM) offers a cohesive system management solution tailored for Linux®-based high-performance computing (HPC) clusters. This software facilitates comprehensive provisioning, management, and monitoring capabilities for clusters that can extend to Exascale-sized supercomputers. HPCM streamlines the initial setup from bare-metal, provides extensive hardware monitoring and management options, oversees image management, handles software updates, manages power efficiently, and ensures overall cluster health. Moreover, it simplifies the scaling process for HPC clusters and integrates seamlessly with numerous third-party tools to enhance workload management. By employing HPE Performance Cluster Manager, organizations can significantly reduce the administrative burden associated with HPC systems, ultimately leading to lowered total ownership costs and enhanced productivity, all while maximizing the return on their hardware investments. As a result, HPCM not only fosters operational efficiency but also supports organizations in achieving their computational goals effectively.

The NVIDIA DGX Cloud provides an AI infrastructure as a service that simplifies the deployment of large-scale AI models and accelerates innovation. By offering a comprehensive suite of tools for machine learning, deep learning, and HPC, this platform enables organizations to run their AI workloads efficiently on the cloud. With seamless integration into major cloud services, it offers the scalability, performance, and flexibility necessary for tackling complex AI challenges, all while eliminating the need for managing on-premise hardware.

Quickly identify performance issues and gain insights into the workings of a complex C/C++ application using Orbit, a standalone profiling and debugging tool designed for both Windows and Linux environments. This tool is specifically engineered to assist developers in comprehending and visualizing the execution flow within intricate applications. By providing an overarching perspective on the internal operations, Orbit enhances the developer's grasp of complex systems, enabling them to swiftly pinpoint performance bottlenecks. The tool seamlessly operates with any C/C++ application, provided it has access to the Pdb file, allowing you to initiate profiling immediately after downloading Orbit. Upon launch, Orbit integrates itself within the target process, hooking into specific functions, and is effective even with highly optimized final or shipping builds. Its sampling feature is particularly beneficial when starting your investigation, as it is fast, reliable, and continuously active. Orbit optimizes the profiling process by combining sampling techniques with dynamic instrumentation, ensuring a more efficient workflow for developers seeking to enhance application performance. Additionally, the ability to visualize execution paths greatly aids in understanding how different components interact within the system.

Sourcery CodeBench offers a comprehensive suite of tools designed to assist embedded software engineers in the effective development and enhancement of software across numerous targets and sectors, such as Automotive, Connectivity, Graphics, and Video applications. This suite extends beyond a mere compiler, equipping developers with robust open-source C/C++ development tools that facilitate the building, debugging, analysis, and optimization of embedded software within intricate heterogeneous architectures like Arm, IA32, MIPS, and Power Architectures. The integrated Eclipse-based IDE allows for tailored workspace configuration and efficient project management. Additionally, it features an advanced source code editor that includes syntax highlighting for improved readability. To further support custom hardware implementations, the Board Builder tool automatically creates linker scripts, debug configuration files, and startup code based on the specific memory layout of the board, streamlining the setup process for developers. Overall, Sourcery CodeBench significantly enhances productivity and efficiency for engineers working in embedded systems.

Amazon S3 Express One Zone is designed for high-performance storage within a single Availability Zone, specifically tailored to provide rapid access to frequently used data and support latency-sensitive applications with single-digit millisecond response times. This storage class enhances data retrieval speeds by up to ten times while reducing request costs by as much as 50% compared to the standard S3 tier. By allowing users to choose a particular AWS Availability Zone in a region for data storage, S3 Express One Zone enables the co-location of storage and compute resources, which can lead to improved performance and reduced computing expenses, ultimately facilitating faster workload execution. The data is organized in a unique bucket type known as an S3 directory bucket, capable of handling hundreds of thousands of requests each second. Moreover, S3 Express One Zone seamlessly integrates with various services, including Amazon SageMaker Model Training, Amazon Athena, Amazon EMR, and AWS Glue Data Catalog, thus optimizing machine learning and analytical processes. As a result, this storage solution not only meets the demands of high-performance applications but also enhances overall operational efficiency by streamlining data access and processing.

Kaption stands out as the premier analytics and feedback platform driven by artificial intelligence, specifically designed for digital marketers. Gain the critical insights necessary to enhance your digital presence and propel your business forward. By removing uncertainty, you can understand the reasons behind user behavior and iterate your strategies at a much quicker pace. One of the most effective ways to influence your audience is to perceive your offerings from their perspective. Have you considered how users navigate your website? With Kaption, you can map out the user journey and identify any obstacles encountered along the way. The path to excellence is paved with accurate information; without data, you are merely relying on luck or making mistakes. Direct your energies towards effective conversion and monitoring strategies. Take advantage of complimentary heatmap analytics to analyze user interaction with every component of your site and its impact on their actions. Identify where users face challenges, boost your conversion rates, and resolve product issues more swiftly with intelligent metadata insights. By doing so, you can ensure that your marketing efforts are both informed and effective.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

The NVIDIA HPC Software Development Kit (SDK) offers a comprehensive suite of reliable compilers, libraries, and software tools that are crucial for enhancing developer efficiency as well as the performance and adaptability of HPC applications. This SDK includes C, C++, and Fortran compilers that facilitate GPU acceleration for HPC modeling and simulation applications through standard C++ and Fortran, as well as OpenACC® directives and CUDA®. Additionally, GPU-accelerated mathematical libraries boost the efficiency of widely used HPC algorithms, while optimized communication libraries support standards-based multi-GPU and scalable systems programming. The inclusion of performance profiling and debugging tools streamlines the process of porting and optimizing HPC applications, and containerization tools ensure straightforward deployment whether on-premises or in cloud environments. Furthermore, with compatibility for NVIDIA GPUs and various CPU architectures like Arm, OpenPOWER, or x86-64 running on Linux, the HPC SDK equips developers with all the necessary resources to create high-performance GPU-accelerated HPC applications effectively. Ultimately, this robust toolkit is indispensable for anyone looking to push the boundaries of high-performance computing.

Defang is a developer-focused platform designed to streamline the development, deployment, and debugging of cloud applications. Utilizing AI-driven tools, Defang empowers developers to quickly evolve their concepts into fully operational applications hosted on their selected cloud services. The platform accommodates various programming languages such as Go, JavaScript, and Python, enabling users to kickstart their projects with example templates or create outlines through natural language instructions. With just a single command, Defang automates the building and deployment processes, managing configurations related to computing, storage, load balancing, networking, logging, and security seamlessly. The Defang Command Line Interface (CLI) enhances user interaction with the platform, providing installation methods through shell scripts, Homebrew, Winget, Nix, or direct downloads. Developers can specify their services using compose.yaml files, which Defang leverages to facilitate application deployment in the cloud. Overall, this platform significantly reduces the complexity traditionally associated with cloud application development, making it more accessible for developers at all skill levels.

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

High-performance tasks associated with data-heavy AI, IoT, and HPC workloads have traditionally relied on costly, top-tier processors or accelerators like Graphics Processing Units (GPUs) to function optimally. Additionally, organizations utilizing cloud-based platforms for demanding computational tasks frequently encounter trade-offs that can be less than ideal. For instance, the outdated nature of processors and hardware in cloud infrastructures often fails to align with the latest software applications, while also raising concerns over excessive energy consumption and environmental implications. Furthermore, users often find certain features of cloud services to be cumbersome and challenging, which hampers their ability to create tailored cloud solutions that meet specific business requirements. This difficulty in achieving a perfect balance can lead to complications in identifying appropriate billing structures and obtaining adequate support for their unique needs. Ultimately, these issues highlight the pressing need for more adaptable and efficient cloud solutions in today's technology landscape.

TrinityX is a cluster management solution that is open source and developed by ClusterVision, aimed at ensuring continuous monitoring for environments focused on High-Performance Computing (HPC) and Artificial Intelligence (AI). It delivers a robust support system that adheres to service level agreements (SLAs), enabling researchers to concentrate on their work without the burden of managing intricate technologies such as Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. By providing an easy-to-use interface, TrinityX simplifies the process of cluster setup, guiding users through each phase to configure clusters for various applications including container orchestration, conventional HPC, and InfiniBand/RDMA configurations. Utilizing the BitTorrent protocol, it facilitates the swift deployment of AI and HPC nodes, allowing for configurations to be completed in mere minutes. Additionally, the platform boasts a detailed dashboard that presents real-time data on cluster performance metrics, resource usage, and workload distribution, which helps users quickly identify potential issues and optimize resource distribution effectively. This empowers teams to make informed decisions that enhance productivity and operational efficiency within their computational environments.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

The Elastic Fabric Adapter (EFA) serves as a specialized network interface for Amazon EC2 instances, designed to support applications that necessitate significant inter-node communication when deployed at scale on AWS. Its unique operating system (OS) effectively circumvents traditional hardware interfaces, significantly improving the efficiency of communications between instances, which is essential for the scalability of these applications. EFA allows High-Performance Computing (HPC) applications utilizing the Message Passing Interface (MPI) and Machine Learning (ML) applications leveraging the NVIDIA Collective Communications Library (NCCL) to seamlessly expand to thousands of CPUs or GPUs. Consequently, users can experience the performance levels of traditional on-premises HPC clusters while benefiting from the flexible and on-demand nature of the AWS cloud environment. This feature is available as an optional enhancement for EC2 networking, and can be activated on any compatible EC2 instance without incurring extra charges. Additionally, EFA integrates effortlessly with most widely-used interfaces, APIs, and libraries for facilitating inter-node communications, making it a versatile choice for developers. The ability to scale applications while maintaining high performance is crucial in today’s data-driven landscape.

Amazon's EC2 P4d instances offer exceptional capabilities for machine learning training and high-performance computing tasks within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances achieve remarkable throughput and feature low-latency networking, supporting an impressive 400 Gbps instance networking speed. P4d instances present a cost-effective solution, providing up to 60% savings in the training of ML models, along with an average performance increase of 2.5 times for deep learning applications when compared to earlier P3 and P3dn models. They are utilized in expansive clusters known as Amazon EC2 UltraClusters, which seamlessly integrate high-performance computing, networking, and storage. This allows users the flexibility to scale from a handful to thousands of NVIDIA A100 GPUs, depending on their specific project requirements. A wide array of professionals, including researchers, data scientists, and developers, can leverage P4d instances for various machine learning applications such as natural language processing, object detection and classification, and recommendation systems, in addition to executing high-performance computing tasks like drug discovery and other complex analyses. The combination of performance and scalability makes P4d instances a powerful choice for tackling diverse computational challenges.

A tool designed for developers to oversee and enhance AI functionalities driven by LLMs and various foundational models. Our user-friendly SDK provides a clear and actionable perspective on the performance of your generative AI applications in real-time. Seamlessly incorporate LLM management into your current code architecture and developer processes. Leverage detailed access controls and comprehensive audit logs to ensure complete oversight of your data. Gain valuable insights on optimizing user interactions with LLMs. Developer teams are not only uniquely qualified to embed these advanced features into existing software solutions, but their inclination to deploy, refine, and enhance will become increasingly critical in the future. As software continues to evolve and adapt, we anticipate that engineering teams will play a pivotal role in transforming this adaptability into engaging and highly personalized user experiences. Ultimately, developers will find themselves at the forefront of the generative AI transformation, shaping its future trajectory.

Amazon EC2's P5 instances, which utilize NVIDIA H100 Tensor Core GPUs, along with the P5e and P5en instances that feature NVIDIA H200 Tensor Core GPUs, offer unparalleled performance for deep learning and high-performance computing tasks. They can significantly enhance your solution development speed by as much as four times when compared to prior GPU-based EC2 instances, while simultaneously lowering the costs associated with training machine learning models by up to 40%. This efficiency allows for quicker iterations on solutions, resulting in faster time-to-market. The P5, P5e, and P5en instances are particularly well-suited for training and deploying advanced large language models and diffusion models, which are essential for the most challenging generative AI applications. These applications encompass a wide range of functions, including question-answering, code generation, image and video synthesis, and speech recognition. Moreover, these instances are also capable of scaling to support demanding HPC applications, such as those used in pharmaceutical research and discovery, thus expanding their utility across various industries. In essence, Amazon EC2's P5 series not only enhances computational power but also drives innovation across multiple sectors.

Black Duck, a segment of the Synopsys Software Integrity Group, stands out as a prominent provider of application security testing (AST) solutions. Their extensive array of offerings encompasses tools for static analysis, software composition analysis (SCA), dynamic analysis, and interactive analysis, which assist organizations in detecting and addressing security vulnerabilities throughout the software development life cycle. By streamlining the identification and management of open-source software, Black Duck guarantees adherence to security and licensing regulations. Their solutions are meticulously crafted to enable organizations to foster trust in their software while effectively managing application security, quality, and compliance risks at a pace that aligns with business demands. With Black Duck, businesses are equipped to innovate with security in mind, delivering software solutions confidently and efficiently. Furthermore, their commitment to continuous improvement ensures that clients remain ahead of emerging security challenges in a rapidly evolving technological landscape.

Kombyne™ represents a cutting-edge Software as a Service (SaaS) tool designed for high-performance computing (HPC) workflows, originally tailored for clients in sectors such as defense, automotive, aerospace, and academic research. This platform empowers users to access a diverse array of workflow solutions specifically for HPC computational fluid dynamics (CFD) tasks, encompassing features like on-the-fly extract generation, rendering capabilities, and simulation steering options. Users can benefit from interactive monitoring and control functionalities, all while ensuring minimal disruption to simulations and eliminating reliance on VTK. By employing extract workflows, the necessity for handling large files is significantly reduced, allowing for real-time visualization. The system incorporates an in-transit workflow that utilizes a distinct process to swiftly receive data from the solver code, enabling visualization and analysis without hindering the operation of the running solver. This specialized process, referred to as an endpoint, facilitates the direct output of extracts, cutting planes, or point samples useful for data science, in addition to rendering images. Furthermore, the Endpoint serves as a conduit to widely-used visualization software, enhancing the overall usability and integration of the tool within various workflows. With its versatile features and ease of use, Kombyne™ is set to revolutionize the way HPC tasks are managed and executed across multiple industries.

CodeSonar uses a unified dataflow with symbolic execution analysis to examine the entire application's computations. CodeSonar's static analyze engine is extremely deep and does not rely on pattern matching or similar approximations. It finds 3-5 times more defects than other static analysis tools. SAST tools are able to be easily integrated into any team's software development process, unlike many other tools such as testing tools and compilers. SAST technologies such as CodeSonar attach to existing build environments to add analysis information. CodeSonar works in the same way as a compiler. However, CodeSonar creates an abstraction model of your entire program, instead of creating object codes. CodeSonar's symbolic execution engine analyzes the derived model and makes connections between them.

ActiveState delivers Intelligent Remediation for vulnerability management, which enables DevSecOps teams to not only identify vulnerabilities in open source packages, but also to automatically prioritize, remediate, and deploy fixes into production without breaking changes, ensuring that applications are truly secured. We do this by helping you: - Understand your vulnerability blast radius so you can see every vulnerabilities’ true impact across your organization. This is driven by our proprietary catalog of 40M+ open source components that’s been built and tested for over 25 years. - Intelligently prioritize remediations so you can turn risks into action. We help teams move away from alert overload with AI-powered analysis that detects breaking changes, streamlines remediation workflows, and accelerates security processes. - Precisely remediate what matters - unlike other solutions, ActiveState doesn’t just suggest what you should do, we enable you to deploy fixed artifacts or document exceptions so you can truly drive down vulnerabilities and secure your software supply chain.

Sonatype Auditor simplifies the process of managing open-source security by automatically generating Software Bills of Materials (SBOM) and identifying risks associated with third-party applications. It provides real-time monitoring of open-source components, detecting vulnerabilities and license violations. By offering actionable insights and remediation guidance, Sonatype Auditor helps organizations secure their software supply chains while ensuring regulatory compliance. With continuous scanning and policy enforcement, it enables businesses to maintain control over their open-source usage and reduce security threats.

Thundra helps application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud app debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production & production environments. Thundra offers 2 products: Thundra Foresight, to help you monitor & troubleshoot your CI workflows & tests. The second product is Thundra APM, which is an application performance monitoring for serverless and containers.

Inspector is a powerful tool designed for monitoring code execution, assisting software developers in the automatic detection of errors and performance bottlenecks. It efficiently traces applications regardless of their scale, allowing developers to address issues proactively before they impact customers, all while maintaining predictable and low debugging costs. By using Inspector, teams can enhance their development process and ensure a smoother user experience.

Modern software development must be as fast as the business. The modern AppSec toolbox lacks integration, which creates complexity that slows down software development life cycles. Contrast reduces the complexity that hinders today's development teams. Legacy AppSec uses a single-size-fits all approach to vulnerability detection and remediation that is inefficient, costly, and expensive. Contrast automatically applies the most efficient analysis and remediation technique, greatly improving efficiency and effectiveness. Separate AppSec tools can create silos that hinder the collection of actionable intelligence across an application attack surface. Contrast provides centralized observability, which is crucial for managing risks and capitalizing upon operational efficiencies. This is both for security and development teams. Contrast Scan is a pipeline native product that delivers the speed, accuracy and integration required for modern software development.

Utilize Telerik Fiddler HTTP(S) proxy to capture all internet traffic between your computer and external sites, allowing you to analyze that traffic, set breakpoints, and manipulate both requests and responses. Fiddler Everywhere serves as a versatile web debugging proxy compatible with macOS, Windows, and Linux platforms. You can capture, inspect, and monitor all HTTP(S) communication, facilitating the mocking of requests and troubleshooting of network problems. This tool is applicable to any browser or application, enabling you to debug traffic across macOS, Windows, Linux, and mobile devices running iOS or Android. It guarantees that the necessary cookies, headers, and cache settings are properly exchanged between client and server. Supporting diverse frameworks such as .NET, Java, and Ruby, Fiddler Everywhere empowers you to mock or alter requests and responses on any website efficiently. This straightforward approach allows for testing website functionality without the need for code alterations. By employing Fiddler Everywhere, you can effectively log and analyze all HTTP/S traffic between your system and the wider internet, streamlining your debugging process.

Deleaker is a powerful tool that detects memory leaks in C++,.NET and Delphi. It integrates seamlessly with Visual Studio and RAD Studio. It also works as a stand-alone app. Deleaker can identify and fix leaks such as memory leaks and GDI leaks. It also handles leaks in real-time. Debugging is easier with an intuitive interface, detailed reports and precise stack traces. Deleaker is a great tool for any project, big or small. It ensures that your software is efficient and leak-free.

Elevate your debugging and web performance skills with an advanced in-browser HTTP sniffer that allows you to analyze network traffic produced by a web page without the need to switch to an external tool. This tool enables precise measurement of a web page's network performance while uncovering potential enhancements to its speed, all without needing additional configurations or proxies—even for encrypted HTTPS traffic! Instantly identify vulnerable SSL configurations and other security-related concerns on your web server. The free Basic Edition allows anyone to send you comprehensive log files, facilitating remote error diagnosis and performance troubleshooting. Furthermore, the HttpWatch API empowers you to gather performance metrics from your automated website testing. Fully compatible with Chrome, Edge, and Internet Explorer, HttpWatch displays the HTTP and HTTPS traffic generated during web page access, and by selecting a request, you can view all relevant information conveniently organized in a tabbed interface. This seamless integration ensures that you have all the necessary insights at your fingertips to optimize your web applications.

Debugging should be straightforward, and AQTime Pro transforms intricate memory and performance data into clear, actionable insights, allowing for rapid identification of bugs and their underlying causes. While the process of locating and resolving unique bugs can often be laborious and complex, AQTime Pro simplifies this task significantly. With a suite of over a dozen profilers, it enables you to detect memory leaks, performance issues, and code coverage deficiencies with just a few clicks. This powerful tool empowers developers to eliminate all types of bugs efficiently, helping them return their focus to producing high-quality code. Don’t let code profiling tools limit you to a single codebase or framework, which can hinder your ability to uncover performance issues, memory leaks, and code coverage gaps specific to your project. AQTime Pro stands out as the versatile solution that can be employed across various codebases and frameworks within a single project. Its extensive language support includes popular programming languages such as C/C++, Delphi, .NET, Java, and more, making it an invaluable asset for diverse development environments. With AQTime Pro at your disposal, you can streamline your debugging process and enhance your coding efficiency like never before.

Stetho serves as an advanced debugging bridge tailored for Android applications. By activating it, developers gain access to the Chrome Developer Tools, a feature that is inherently part of the Chrome desktop browser. Additionally, users have the option to enable the dumpapp tool, which provides a robust command-line interface to delve into app internals. Stetho can be conveniently integrated from Maven Central using either Gradle or Maven. While only the primary Stetho dependency is essential, developers may also find it beneficial to incorporate one of the network helpers. The integration with the Chrome DevTools frontend relies on a client/server protocol that Stetho establishes for the application. The platform allows for comprehensive network inspection utilizing the full range of Chrome Developer Tools features, which include image previews, JSON response aids, and the capability to export traces in the HAR format. Furthermore, Stetho enables users to visualize SQLite databases, allowing for interactive exploration with complete read and write functionalities. This makes it an invaluable tool for any developer seeking to enhance their application's debugging process.

Questa Verification stands out as the pioneering platform that integrates a UVM-aware debug solution, equipping engineers with critical insights into the functionality of their dynamic class-based testbenches, all within the familiar environments of source code and waveform analysis. This verification suite encompasses a comprehensive collection of technologies, methodologies, and libraries tailored for contemporary ASIC and FPGA designs. As the complexity of System-on-Chip (SoC) designs escalates, Questa continuously adapts and enhances its offerings. The platform provides valuable insights and updates on key concepts, values, standards, and methodologies, along with practical examples that help users grasp the capabilities of advanced functional verification technologies and their optimal application. Additionally, the Verification Horizons publication serves as a vital resource, presenting crucial concepts, values, methodologies, and illustrative examples to deepen understanding and facilitate effective use of these cutting-edge verification tools. Through this ongoing commitment to innovation and education, engineers are better equipped to navigate the challenges of modern design verification.