Alternatives to NVIDIA Jetson

NVIDIA Isaac is a comprehensive platform designed for the development of AI-driven robots, featuring an array of CUDA-accelerated libraries, application frameworks, and AI models that simplify the process of creating various types of robots, such as autonomous mobile units, robotic arms, and humanoid figures. A key component of this platform is NVIDIA Isaac ROS, which includes a suite of CUDA-accelerated computing tools and AI models that leverage the open-source ROS 2 framework to facilitate the development of sophisticated AI robotics applications. Within this ecosystem, Isaac Manipulator allows for the creation of intelligent robotic arms capable of effectively perceiving, interpreting, and interacting with their surroundings. Additionally, Isaac Perceptor enhances the rapid design of advanced autonomous mobile robots (AMRs) that can navigate unstructured environments, such as warehouses and manufacturing facilities. For those focused on humanoid robotics, NVIDIA Isaac GR00T acts as both a research initiative and a development platform, providing essential resources for general-purpose robot foundation models and efficient data pipelines, ultimately pushing the boundaries of what robots can achieve. Through these diverse capabilities, NVIDIA Isaac empowers developers to innovate and advance the field of robotics significantly.

VxWorks®, a leading real-time operating platform in the industry, provides all the performance, reliability, safety and security capabilities you need for the most critical infrastructure's embedded computing systems. VxWorks is a preemptive, deterministic RTOS that prioritizes real-time embedded applications. It has low latency and minimaljitter. VxWorks has many security features that address the evolving security threats connected devices face at every stage, from boot-up to operation to data transfer to powered off. VxWorks has been certified to IEC 61508, ISO 26262, and DO-178C safety standards. VxWorks is built on an extensible, future-proof architecture that allows you to quickly respond to changing market demands, customer needs, technological advancements, and preserves your investment.

Debugging the run-time behavior of your code has become remarkably straightforward. The MPLAB® Data Visualizer is a complimentary debugging utility that provides a graphical representation of run-time variables within embedded applications. This tool can be utilized as a plug-in for the MPLAB X Integrated Development Environment (IDE) or as an independent debugging solution. It is capable of receiving data from multiple sources, including the Embedded Debugger Data Gateway Interface (DGI) and COM ports. Additionally, you can monitor your application's run-time behavior through either a terminal or a graphical representation. To dive into data visualization, consider exploring the Curiosity Nano Development Platform as well as the Xplained Pro Evaluation Kits. Data can be captured from a live embedded target via a serial port (CDC) or the Data Gateway Interface (DGI). Furthermore, you can simultaneously stream data and debug your target code using MPLAB® X IDE. The tool allows you to decode data fields in real-time using the Data Stream Protocol format. You have the option to visualize either the raw or decoded data in a graphical format as a time series or present it in a terminal, ensuring a comprehensive understanding of your application's performance. This versatility makes the MPLAB® Data Visualizer an essential asset for developers working with embedded systems.

NVIDIA Isaac Sim is a free and open-source robotics simulation tool that operates on the NVIDIA Omniverse platform, allowing developers to create, simulate, evaluate, and train AI-powered robots within highly realistic virtual settings. Utilizing Universal Scene Description (OpenUSD), it provides extensive customization options, enabling users to build tailored simulators or to incorporate the functionalities of Isaac Sim into their existing validation frameworks effortlessly. The platform facilitates three core processes: the generation of large-scale synthetic datasets for training foundational models with lifelike rendering and automatic ground truth labeling; software-in-the-loop testing that links real robot software to simulated hardware for validating control and perception systems; and robot learning facilitated by NVIDIA’s Isaac Lab, which hastens the training of robot behaviors in a simulated environment before they are deployed in the real world. Additionally, Isaac Sim features GPU-accelerated physics through NVIDIA PhysX and offers RTX-enabled sensor simulations, empowering developers to refine their robotic systems. This comprehensive toolset not only enhances the efficiency of robot development but also contributes significantly to advancing robotic AI capabilities.

NVIDIA Isaac Lab is an open-source robot learning framework that utilizes GPU acceleration and is built upon Isaac Sim, aimed at streamlining and integrating various robotics research processes such as reinforcement learning, imitation learning, and motion planning. By harnessing highly realistic sensor and physics simulations, it enables the effective training of embodied agents and offers a wide range of pre-configured environments that include manipulators, quadrupeds, and humanoids, while supporting over 30 benchmark tasks and seamless integration with well-known RL libraries, including RL Games, Stable Baselines, RSL RL, and SKRL. The design of Isaac Lab is modular and configuration-driven, which allows developers to effortlessly create, adjust, and expand their learning environments; it also provides the ability to gather demonstrations through peripherals like gamepads and keyboards, as well as facilitating the use of custom actuator models to improve sim-to-real transfer processes. Furthermore, the framework is designed to operate effectively in both local and cloud environments, ensuring that compute resources can be scaled flexibly to meet varying demands. This comprehensive approach not only enhances productivity in robotics research but also opens new avenues for innovation in robotic applications.

MPLAB® Harmony v3 is a comprehensive framework designed for embedded software development, offering a range of flexible and interoperable software modules that aim to streamline the creation of enhanced features while expediting product launches. This framework is core-agnostic, providing support for both MIPS® and Arm® Cortex® core architectures, thereby ensuring code portability through consistent APIs applicable across various device families. The MPLAB Harmony Configurator’s (MHC’s) Graphical User Interface (GUI) allows for straightforward configuration, making it user-friendly. It has been validated for compatibility with 32-bit PIC® (MIPS-based) and SAM (Arm Cortex-based) MCU and MPU device families, ensuring robust performance. Additionally, it seamlessly integrates with third-party solutions such as FreeRTOS and Micrium®, and it can import projects developed in IAR Embedded Workbench. The latest version introduces support for SAM families of Arm Cortex-M based devices, complemented by a free software development environment. Furthermore, the graphical configuration features offered by MHC’s GUI facilitate easy setup of devices and libraries, enhancing the overall development experience. This combination of features makes MPLAB Harmony v3 a powerful tool for developers aiming to maximize efficiency and minimize time-to-market for their products.

The µVision Integrated Development Environment (IDE) brings together various functionalities such as project management, run-time environment, build tools, source code editing, and program debugging into one robust platform. User-friendly and efficient, µVision enhances the speed of embedded software development processes. It also accommodates multiple screens, enabling users to customize their workspace with unique window layouts across the interface. The µVision Debugger offers a comprehensive setting where you can test, validate, and fine-tune your application code effectively. It features an array of traditional debugging tools, including both simple and complex breakpoints, watch windows, and control over execution, ensuring complete access to device peripherals. By leveraging the µVision Project Manager and Run-Time Environment, developers can construct software applications using pre-assembled software components and device support sourced from Software Packs. These software components encompass libraries, source modules, configuration files, templates for source code, and thorough documentation, providing a well-rounded foundation for development. This holistic approach not only streamlines the development process but also significantly reduces the time taken to bring projects to completion.

NVIDIA's Isaac GR00T (Generalist Robot 00 Technology) serves as an innovative research platform aimed at the creation of versatile humanoid robot foundation models and their associated data pipelines. This platform features models such as Isaac GR00T-N, alongside synthetic motion blueprints, GR00T-Mimic for enhancing demonstrations, and GR00T-Dreams, which generates novel synthetic trajectories to expedite the progress in humanoid robotics. A recent highlight is the introduction of the open-source Isaac GR00T N1 foundation model, characterized by a dual-system cognitive structure that includes a rapid-response “System 1” action model and a language-capable, deliberative “System 2” reasoning model. The latest iteration, GR00T N1.5, brings forth significant upgrades, including enhanced vision-language grounding, improved following of language commands, increased adaptability with few-shot learning, and support for new robot embodiments. With the integration of tools like Isaac Sim, Lab, and Omniverse, GR00T enables developers to effectively train, simulate, post-train, and deploy adaptable humanoid agents utilizing a blend of real and synthetic data. This comprehensive approach not only accelerates robotics research but also opens up new avenues for innovation in humanoid robot applications.

It features thousands of ready-made models that span a diverse array of engineering fields, along with a search function to help find the model that best suits your design needs, and extensive support for various targets. The Embed library includes a collection of motor models and motor control algorithms applicable to both sensored and sensorless scenarios, serving as a foundation to expedite embedded motor control projects for all types of electric motors, such as AC induction, BLDC, PMSM, brushed DC, and stepper motors. Additionally, with Embed, users can seamlessly model and simulate comprehensive physical layer data communication systems, allowing for the assessment of energy and bit requirements necessary to achieve a specified bit error rate across a wide range of modulation, encoding, and channel configurations. Furthermore, this tool enhances the efficiency of engineering projects by streamlining workflows and enabling rapid prototyping.

NVIDIA Metropolis serves as a comprehensive framework that integrates visual data with artificial intelligence to enhance efficiency and safety in various sectors. By analyzing the vast amounts of data generated by countless sensors, it facilitates seamless retail experiences, optimizes inventory control, supports traffic management in smart urban environments, and improves quality assurance in manufacturing settings, as well as patient care in hospitals. This innovative technology, alongside the robust Metropolis developer ecosystem, empowers organizations to develop, implement, and expand AI and IoT solutions across both edge and cloud environments. Furthermore, it aids in the upkeep and enhancement of urban infrastructure, including parking areas, buildings, and public amenities, while also boosting industrial inspection processes, elevating productivity, and minimizing waste in production lines. In doing so, NVIDIA Metropolis not only drives operational advancements but also contributes to sustainable growth and better resource management across numerous industries.

A comprehensive development environment tailored for Arm architecture, designed to produce efficient and streamlined code while granting you full authority over your programming projects. This all-in-one Integrated Development Environment features tools for project management and a built-in editor. It boasts an impressive library of 8,400 example projects, complete with configuration files, code snippets, and project templates, allowing for rapid project initiation. The IAR C/C++ Compiler, crafted by our team of compiler specialists, supports both C and C++ languages and provides sophisticated global and target-specific optimization techniques. Additionally, it accommodates a variety of industry-standard debugging and image formats, ensuring compatibility with most leading debuggers and emulators, including ELF/DWARF where applicable. This robust setup is complemented by a fully integrated linker and assembler, enabling the efficient creation of embedded applications. Supporting all 32-bit Arm cores from prominent vendors, as well as selected 64-bit Arm cores, our tools come with a flexible licensing model tailored to meet the unique needs of your organization. With this environment, developers can enhance productivity and streamline their workflow to achieve optimal results.

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.

Zulu Embedded™, the only 100% open-source Java platform that is fully certified and customizable for embedded systems, IoT and IIoT edge devices and gateways, and dedicated applications, is available. It can be used on a variety of operating systems and devices. Zulu Embedded™, which meets all Java SE standards, requires no coding changes to the application. Use industry-standard Java tools to develop and profile. There are no licensing fees for this 100% open-source offering. Zulu Embedded support plans include redistribution-ready downloadable runtimes and access to all security updates, technical troubleshooting and a wide range of packaging options. We will work closely with you to determine the right bundle requirements, support, pricing, and pricing model to meet your needs.

The effectiveness of your programming is determined by its performance and precision in execution. Are you equipped with the right resources in your current development setup to write clean, efficient, and accurate code? Given your role in crafting solutions that influence human safety and lifespan, ensuring that your integrated development environment is top-notch is essential and cannot be overlooked. The TASKING Embedded Software Development solutions offer a premier ecosystem designed to support your entire software development journey. Each TASKING compiler is tailored for specific architectures, addressing the unique demands of industries such as automotive, industrial, telecommunications, and datacom. With a comprehensive integrated development environment at your disposal, you can produce code that is both error-free and efficient, benefiting from advanced features like compilers, debuggers, embedded internet capabilities, and RTOS support for leading microprocessors and microcontrollers. This ensures that you remain at the forefront of technological advancement while delivering reliable solutions.

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.

The security of connected embedded system devices is crucial, particularly for systems that must maintain high availability and support mission-critical functions. In the current landscape of increasing cyber threats, it is essential for connected embedded systems utilized in various sectors such as industrial controls, transportation, navigation, communications, aerospace, military, healthcare, and logistics to implement robust security measures from the moment of deployment and throughout their entire life cycle. As product developers face pressure to expedite their go-to-market strategies, many opt to incorporate third-party software components, whether open source or proprietary, to fulfill essential product requirements. Traditionally, security audits are conducted only at the conclusion of the development and testing phases, just prior to the launch of the products. This late-stage approach can often overlook vulnerabilities that may arise earlier in the development process, highlighting the need for a more integrated security strategy throughout the entire lifecycle of connected embedded systems.

Storyboard is an embedded GUI framework that speeds up the design and delivery modern UX for tomorrow’s IoT devices and wearables. Iteration Technology and Rapid Design Import allow embedded developers to create products that provide unmatched GUI experiences (graphics and voice) and are optimized for all operating systems and platforms. Storyboard connects embedded developers with designers using popular tools such as Sketch and Photoshop. This allows manufacturers to achieve high-quality UX without compromising performance or development time. Storyboard allows developers to quickly visualize changes and quickly accept or reject elements. This workflow speeds up product development and allows teams to refine products at any stage of the cycle.

Keil® MDK stands out as the ultimate software development package for Arm®-based microcontrollers, encompassing all necessary elements for crafting, building, and troubleshooting embedded applications. The foundation of MDK-Core lies in µVision (exclusive to Windows), offering exceptional support for Cortex-M devices, especially with the introduction of the advanced Armv8-M architecture. Within MDK, users gain access to the Arm C/C++ Compiler, which is accompanied by an assembler, linker, and highly efficient run-time libraries designed for optimal code size and performance. Additionally, users can enhance MDK-Core at any moment by integrating Software Packs, allowing for seamless updates in device support and middleware that are independent of the toolchain. These packs consist of device support, CMSIS libraries, middleware, board support, code templates, and illustrative example projects. Furthermore, the integrated IPv4/IPv6 networking communication stack is augmented with Mbed™ TLS, facilitating secure online connections. This powerful tool is ideal for product evaluation, smaller projects, and educational purposes, although it does impose a restriction on code size to a maximum of 32 Kbytes, making it suitable for various embedded applications while still being resource-efficient.

Atmel START serves as a groundbreaking online platform designed for the straightforward, visual setup of embedded software projects. This tool enables users to choose and configure a variety of software components, drivers, middleware, and even complete example projects that are customized to meet specific application requirements. During the configuration process, you can assess the relationships among software components, identify potential conflicts, and understand hardware limitations. If any conflicts arise, Atmel START promptly offers tailored solutions that align with your unique configuration. With its user-friendly graphical interface for pin-multiplexing and clock settings, you can seamlessly integrate your software and drivers with your actual hardware design. Additionally, the tool offers automated support to facilitate the adaptation of projects and applications across different devices. This makes it incredibly simple to get sample code operational on your hardware. Once you've finished configuring your project, you can easily download it for integration with your chosen integrated development environment (IDE), streamlining the entire development process even further. Overall, Atmel START enhances the efficiency and effectiveness of developing embedded software projects.

YNQ is a compact SMB server and client stack created by Visuality Systems, implemented in ANSI C, and tailored to operate on embedded systems, IoT devices, or platforms that do not run Windows, while ensuring seamless interaction with Windows computers. It facilitates remote file management functions such as writing, editing, copying, deleting, and updating files over a network without the necessity of transferring full files locally, all while being resource-efficient to suit limited environments. Fully supporting all SMB dialects from NTLM 0.12 to SMB 3.1.1, YNQ also guarantees backward compatibility, enhancing its utility across various SMB frameworks. The stack includes robust security protocols such as Kerberos for domain joining and delegation, NTLM/NTLMv2, message signing, SMB encryption, and pre-authentication integrity, ensuring secure data transactions. YNQ's modular design consists of four main product components: the Standalone Client, Corporate Client (which features Active Directory registration), Standalone Server, and Corporate Server, allowing for flexible deployment options in diverse settings. This versatility makes YNQ an ideal choice for organizations looking to integrate SMB functionality into their non-Windows 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).

Visual Studio by Microsoft is a complete ecosystem for professional developers, combining robust coding environments, integrated AI capabilities, and advanced collaboration tools. The flagship Visual Studio 2022 IDE delivers an all-in-one workspace with compilers, debuggers, designers, and performance profilers for .NET, C++, C#, and Azure development. Meanwhile, Visual Studio Code (VS Code) offers a lightweight yet powerful editor that runs on Windows, macOS, and Linux, ideal for web, JavaScript, Python, and container-based workflows. With GitHub Copilot integration, developers receive intelligent code completions, automated refactoring, and natural language explanations of complex logic. Agent Mode introduces an AI-driven assistant that can edit across files, execute builds, and resolve compile or test errors autonomously. Built-in tools like unit test generators, CI-aware policy enforcement, and style validation help ensure clean, testable, and secure code. Thousands of extensions from the Visual Studio Marketplace expand functionality for database, cloud, and DevOps workflows. Together, these platforms redefine productivity, helping teams code smarter and deliver innovation faster.

NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.

Carmen® Nano is an innovative software module that converts any IP camera into a robust on-premise system for Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR). Tailored specifically for NVIDIA® Jetson™-based devices, it harnesses the power of deep learning to provide real-time, highly accurate vehicle identification. With the capability to recognize over 38,000 different plate types from more than 160 nations, Carmen® Nano guarantees worldwide applicability. Its versatile API facilitates easy integration into pre-existing systems, making it exceptionally suitable for various applications, including traffic monitoring, access control, and efficient parking management. Additionally, its user-friendly interface ensures that organizations can quickly adapt and implement this technology.

Eclipse IDE stands as the premier open platform tailored for professional developers engaged in computer programming, and it has never been better. This IDE provides essential tools to drive rapid innovation with a simplified configuration process, including the Eclipse IDE Installer 2020-09, which now incorporates a Java Runtime Environment (JRE) in several of its packages. The enhancements also extend to theming and styling, featuring an improved dark theme for Windows and a refined light theme for GTK. Additionally, Eclipse IDE has transitioned to require Java 11 as its minimum operating version while maintaining the ability to compile older versions as desired. Among its new experimental features is support for aarch64, along with robust Linux support that has been integrated into this version. Furthermore, Node.js is now embedded within all LSP-based tools, facilitating seamless functionality from the start. Eclipse IDE remains free and open source, distributed under the Eclipse Public License 2.0, underscoring its commitment to community-driven development. The platform thrives on an extensive ecosystem of plugins, bolstered by an active and engaged community of contributors. This collaborative environment ensures that Eclipse IDE continues to evolve and meet the diverse needs of developers worldwide.

The NVIDIA® EGX™ Platform for professional visualization is designed to enhance a variety of workloads, ranging from rendering and virtualization to engineering analysis and data science, across any device. This adaptable reference design integrates powerful NVIDIA GPUs with NVIDIA virtual GPU (vGPU) software and superior networking capabilities, offering remarkable graphics and computational strength, which allows artists and engineers to perform optimally from any location, all while significantly reducing costs, physical space, and energy consumption compared to traditional CPU-based systems. By utilizing the EGX Platform alongside NVIDIA RTX Virtual Workstation (vWS) software, organizations can easily implement a high-performance and budget-friendly infrastructure that has been rigorously tested and approved in collaboration with leading industry partners and ISV applications on reliable OEM servers. This cutting-edge solution not only empowers professionals to work remotely but also boosts productivity, enhances data center efficiency, and lowers IT management expenses, ultimately transforming how teams collaborate and innovate. Consequently, the EGX Platform exemplifies the future of professional visualization in a rapidly evolving technological landscape.

OneTest Embedded simplifies the automation of creating and deploying component test harnesses, test stubs, and test drivers with ease. With just a single click from any development environment, users can profile memory usage and performance, evaluate code coverage, and visualize how programs execute. This tool also enhances proactive debugging, helping developers identify and rectify code issues before they escalate into failures. It fosters a continuous cycle of test generation by executing, reviewing, and enhancing tests to quickly achieve comprehensive coverage. Building, executing on the target, and generating reports takes only one click, which is essential in preventing performance problems and application crashes. Furthermore, OneTest Embedded can be customized to accommodate unique memory management techniques prevalent in embedded software. It also provides insights into thread execution and switching, which is crucial for gaining a profound understanding of the system's operational behavior under testing conditions. Ultimately, this powerful tool streamlines testing processes and enhances software reliability.

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.

Clara provides specialized tools and pre-trained AI models that are driving significant advancements across various sectors, such as healthcare technologies, medical imaging, pharmaceutical development, and genomic research. Delve into the comprehensive process of developing and implementing medical devices through the Holoscan platform. Create containerized AI applications using the Holoscan SDK in conjunction with MONAI, and enhance deployment efficiency in next-gen AI devices utilizing the NVIDIA IGX developer kits. Moreover, the NVIDIA Holoscan SDK is equipped with acceleration libraries tailored for healthcare, alongside pre-trained AI models and sample applications designed for computational medical devices. This combination of resources fosters innovation and efficiency, positioning developers to tackle complex challenges in the medical field.

The AdaMULTI IDE offers Ada developers access to the top-notch debugging and development capabilities found in the Green Hills MULTI IDE. For many years, users have relied on our tools and optimizing compilers to significantly enhance their debugging efficiency. The outcome? A more dependable product that reaches the market faster and incurs lower development expenses. AdaMULTI encapsulates nearly thirty years of debugging knowledge into an all-encompassing toolbox for embedded software development, equipping you with everything necessary to produce reliable software effectively. Our innovative debugger is tailored to swiftly address challenges that conventional tools struggle with. Bugs that once required weeks to resolve can now be tackled in mere hours or even minutes with the TimeMachine tool suite. Adhering to clean coding standards helps eliminate the risk of introducing new bugs through overly complicated code. Furthermore, a straightforward build configuration and seamlessly integrated tools allow developers to concentrate more on their core development tasks. This combination of features ensures that developers can optimize their workflows and achieve higher productivity levels.

With over thirty years of dedicated customer use and ongoing improvements, the MULTI Integrated Development Environment (IDE) stands unparalleled in the realm of embedded software. Developers trust MULTI to assist them in crafting superior code and accelerating their product launches. From identifying elusive bugs to fixing memory leaks and enhancing system performance, MULTI is consistently effective. Each aspect of our groundbreaking Debugger is tailored to swiftly address issues that often confound conventional tools. Problems such as inter-task corruptions, unmet real-time requirements, and external hardware events can typically take weeks or even months to resolve. However, with Green Hills' TimeMachine tool suite, these challenges can often be addressed in mere hours or even minutes. The TimeMachine suite automatically records program execution data, seamlessly integrating the MULTI Debugger interface with advanced replay debugging features, making it a vital resource for developers. This innovative approach not only saves time but also enhances the overall debugging process significantly.

NVIDIA's DeepStream SDK serves as a robust toolkit for streaming analytics, leveraging GStreamer to facilitate AI-driven processing across various sensors, including video, audio, and image data. It empowers developers to craft intricate stream-processing pipelines that seamlessly integrate neural networks alongside advanced functionalities like tracking, video encoding and decoding, as well as rendering, thereby enabling real-time analysis of diverse data formats. DeepStream plays a crucial role within NVIDIA Metropolis, a comprehensive platform aimed at converting pixel and sensor information into practical insights. This SDK presents a versatile and dynamic environment catered to multiple sectors, offering support for an array of programming languages such as C/C++, Python, and an easy-to-use UI through Graph Composer. By enabling real-time comprehension of complex, multi-modal sensor information at the edge, it enhances operational efficiency while also providing managed AI services that can be deployed in cloud-native containers managed by Kubernetes. As industries increasingly rely on AI for decision-making, DeepStream's capabilities become even more vital in unlocking the value embedded within sensor data.

Contemporary vehicles, aircraft, and other intricate industrial products consist of numerous electronic elements that work harmoniously to deliver essential functionalities. Beneath these sophisticated systems lies a vast array of embedded software code, amounting to millions of lines, which guarantees seamless operation across various scenarios. Ansys SCADE Suite significantly lowers safety certification expenses by streamlining the design of critical control applications while automating tasks like verification, certified code generation, and documentation creation. Over the last ten years, Ansys SCADE has proven to be an indispensable strategic asset for Subaru in the competitive landscape of launching new hybrid and electric vehicle models, reinforcing the company's dedication to exceptional safety and quality standards. The efficiencies gained during the comprehensive development process of the ECU—without compromising the precision of its control software—have been vital for Subaru in adopting cutting-edge technologies and staying ahead in the automotive market. This innovative approach not only enhances Subaru's product offerings but also strengthens its market position as a leader in automotive safety and technology.

The MPLAB® X Integrated Development Environment (IDE) is a versatile and customizable software solution that integrates robust tools designed to assist you in exploring, configuring, developing, debugging, and validating embedded designs for a wide range of microcontrollers and digital signal controllers. It operates flawlessly within the MPLAB development ecosystem, which includes numerous software and tools, many of which are available at no cost. There's no need for additional visualization tools, as real-time data can be monitored through the Data Visualizer. The I/O View feature allows for quick verification and manipulation of pin states, facilitating efficient hardware validation. Furthermore, it streamlines your workflow by automatically providing convenient access to software libraries, datasheets, and user guides. Additionally, the MPLAB Integrated Programming Environment (IPE) is included for high-level production programming, ensuring that you have all the essential resources at your fingertips. With its extensive array of features, MPLAB X IDE significantly enhances your ability to debug projects effectively, ultimately reducing your overall development time. This makes it an invaluable asset for engineers working on embedded systems development.

In the realm of ensuring software quality, reliability, and security amid complex code bases, the conventional methods of debugging and testing are increasingly proving inadequate. Automated solutions like static source code analyzers excel in identifying defects that could lead to issues such as buffer overflows, resource leaks, and various other security vulnerabilities that often escape detection by standard compilers during regular builds, run-time tests, or typical operational conditions. These defects typically go unnoticed, underscoring the limitations of traditional methods. Unlike other standalone source code analyzers, DoubleCheck stands out as an integrated static analysis tool that is woven into the Green Hills C/C++ compiler. It employs precise and efficient analysis algorithms that have been refined and validated through over three decades of experience in developing embedded tools. By using DoubleCheck, developers can seamlessly conduct compilation alongside defect analysis in a single pass, streamlining their workflow and enhancing overall code integrity. This integrated approach not only saves time but also significantly improves the identification of potential issues within code.

Embunit serves as a unit testing framework tailored for developers and testers working with C or C++, particularly in the realm of embedded software. Although primarily intended for embedded systems, it can effectively facilitate the creation of unit tests across various software applications written in C or C++. By automating the repetitive tasks associated with writing unit tests, Embunit allows users to focus on defining the desired test behavior. This is accomplished by outlining a series of actions, as illustrated in the accompanying example screenshot. The tool automatically generates the source code for unit tests, which enhances efficiency. Designed with adaptability in mind, Embunit can be customized to generate unit tests for nearly any hardware platform, including even the smallest microcontrollers. It operates independently of any specific toolset and is crafted to meet the typical constraints faced by embedded C++ compilers, ensuring broad compatibility and utility. Ultimately, Embunit streamlines the testing process, making it more accessible for developers across various projects.

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

Qt Creator's sophisticated code editor supports a variety of programming languages such as C++, QML, JavaScript, and Python. It boasts features like code completion, syntax highlighting, and refactoring, while providing easy access to built-in documentation. This powerful tool seamlessly integrates with popular version control systems, including Git, Subversion, Perforce, and Mercurial. With integrated visual editors, you can create C++ widget-based applications or dynamic UIs using Qt Quick, complete with pre-built controls. Whether you're importing an existing project or starting from scratch, Qt Creator takes care of generating all necessary files for you. It also includes support for CMake and facilitates cross-compiling with qmake. You can build and execute your software on various platforms, including desktop, mobile, and embedded operating systems. The build configurations are user-friendly, allowing you to easily switch between different targets. Furthermore, you can thoroughly test and debug your applications under conditions that closely mimic those of your intended devices, ensuring a smoother development process. This versatility makes Qt Creator an invaluable tool for developers seeking efficiency and ease of use in their projects.

With the rapid advancements in microprocessor technology, application developers increasingly turn to Green Hills Compilers to harness the complete capabilities of hardware, ensuring optimal performance and functional safety in their upcoming applications. The compilers are equipped with cutting-edge optimizations designed to enhance program performance while adhering to stringent size limitations. A notable feature, CodeFactor™, enhances execution speed and minimizes code size by eliminating redundant code segments through techniques like subroutine calls and tail merging. Similarly, static basing optimizes performance and reduces size by organizing data items, which cuts down on the number of load address operations needed. Each optimization, whether a novel creation or an established industry standard, undergoes a thorough implementation process. For over thirty years, our commitment to engineering excellence has driven us to meticulously research and rigorously test each optimization against a wide array of benchmarks to ensure the highest quality. This dedication to innovation guarantees that developers can confidently rely on our tools to elevate their applications.

An effective ALM tool significantly enhances the management of your product's application lifecycle. The premier ALM tools offer comprehensive traceability throughout the entire lifecycle, which is why development teams from various sectors opt for Perforce ALM (formerly Helix ALM). This versatile suite of ALM tools is designed to facilitate the tracking of requirements, testing, and issue management. Perforce ALM stands out as the top software for application lifecycle management, providing extensive traceability throughout the process. This means you will have clear visibility into whether requirements have been adequately tested and fulfilled, whether test executions were successful or not, and whether any issues have been addressed. Furthermore, should a requirement undergo changes, you will instantly know the test cases and issues that may be affected. Perforce ALM simplifies the creation of requirements and the sharing of related documents, allowing for seamless reviews and approvals directly within the application. Additionally, it offers the flexibility to reuse requirements across different projects, enhancing efficiency and collaboration. The collaborative features of Perforce ALM ensure that all team members stay informed and aligned throughout the lifecycle.

Static analysis is a valuable technique for identifying possible problems within your code by examining it at the source code level. C-STAT offers nearly 700 different checks, many of which adhere to guidelines outlined in MISRA C:2012, MISRA C++:2008, and MISRA C:2004, in addition to more than 250 checks that correspond to issues recognized by CWE. Furthermore, it assesses adherence to the CERT C coding standard, which focuses on secure coding practices. C-STAT operates swiftly and provides extensive and detailed error reports, allowing for effective troubleshooting. There’s no need to be concerned about complicated tool configurations or dealing with language support and overarching build challenges. Fully integrated into the IAR Embedded Workbench IDE, C-STAT empowers you to effortlessly maintain code quality throughout your development processes. This tool is compatible with a wide range of IAR Embedded Workbench products. By utilizing static analysis, not only can potential code issues be detected, but it also facilitates compliance with established industry coding standards. Ultimately, this enhances overall software reliability and maintainability.

NVIDIA® Parabricks® stands out as the sole suite of genomic analysis applications that harnesses GPU acceleration to provide rapid and precise genome and exome analysis for various stakeholders, including sequencing centers, clinical teams, genomics researchers, and developers of high-throughput sequencing instruments. This innovative platform offers GPU-optimized versions of commonly utilized tools by computational biologists and bioinformaticians, leading to notably improved runtimes, enhanced workflow scalability, and reduced computing expenses. Spanning from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks significantly boosts performance across diverse hardware setups featuring NVIDIA A100 Tensor Core GPUs. Researchers in genomics can benefit from accelerated processing throughout their entire analysis workflows, which includes stages such as alignment, sorting, and variant calling. With the deployment of additional GPUs, users can observe nearly linear scaling in computational speed when compared to traditional CPU-only systems, achieving acceleration rates of up to 107X. This remarkable efficiency makes NVIDIA Parabricks an essential tool for anyone involved in genomic analysis.

Unicorn Render is a sophisticated rendering software that empowers users to create breathtakingly realistic images and reach professional-grade rendering quality, even if they lack any previous experience. Its intuitive interface is crafted to equip users with all the necessary tools to achieve incredible results with minimal effort. The software is offered as both a standalone application and a plugin, seamlessly incorporating cutting-edge AI technology alongside professional visualization capabilities. Notably, it supports GPU+CPU acceleration via deep learning photorealistic rendering techniques and NVIDIA CUDA technology, enabling compatibility with both CUDA GPUs and multicore CPUs. Unicorn Render boasts features such as real-time progressive physics illumination, a Metropolis Light Transport sampler (MLT), a caustic sampler, and native support for NVIDIA MDL materials. Furthermore, its WYSIWYG editing mode guarantees that all editing occurs at the quality of the final image, ensuring there are no unexpected outcomes during the final production stage. Thanks to its comprehensive toolset and user-friendly design, Unicorn Render stands out as an essential resource for both novice and experienced users aiming to elevate their rendering projects.

Apache NetBeans is a dynamic, open-source Integrated Development Environment (IDE) that supports the development of applications in various programming languages, such as Java, JavaScript, PHP, HTML5, and C/C++. Renowned for its modular framework, NetBeans equips developers with a comprehensive suite of tools and features tailored for creating desktop, mobile, and web applications. It boasts advanced code editing, debugging, and profiling functionalities, as well as an integrated visual GUI builder for crafting user interfaces in Java. Additionally, NetBeans provides support for multiple version control systems like Git, SVN, and Mercurial, enhancing collaborative efforts among teams. As a project under the Apache Software Foundation, NetBeans is continually refined by a vibrant community dedicated to expanding its capabilities, ensuring it remains a dependable and adaptable option for developers in numerous fields. Furthermore, its extensive documentation and tutorials make it accessible for both novice and experienced programmers alike.

LabVIEW provides a visual programming environment that allows you to effectively manage all components of your project, such as hardware setups, data collection, and troubleshooting processes. This visual interface streamlines the integration of measurement devices from various manufacturers, enables the representation of intricate logic within the diagram, facilitates the creation of data analysis algorithms, and allows for the development of tailored engineering user interfaces. By utilizing LabVIEW alongside NI DAQ hardware, users can construct bespoke measurement systems that enable the visualization and analysis of real-world signals, empowering them to make informed, data-driven choices. Additionally, LabVIEW in conjunction with NI or third-party hardware allows for the automation of product validation, ensuring that stringent time-to-market and performance standards are met. With LabVIEW, it is possible to devise adaptable testing applications that coordinate multiple instruments while also crafting user interfaces that enhance efficiency in manufacturing tests and reduce operational expenses. Moreover, LabVIEW accelerates the process of developing industrial machinery and intelligent devices, creating opportunities for innovation and efficiency. Ultimately, this powerful tool equips engineers with the capabilities to optimize their projects and achieve superior results.