Business Software for Amazon Web Services (AWS)

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

Astrix provides a robust solution for ensuring that your essential systems maintain secure connections to third-party cloud services by enhancing access management and threat mitigation for various elements such as API keys, OAuth tokens, and service accounts. Our agentless and straightforward deployment process allows you to identify and address risky app-to-app interactions that could lead to supply chain compromises, data leaks, and regulatory breaches. You will receive a comprehensive overview of all connections to your vital systems, including both internal and external applications, access keys, secrets, and operational workflows. Additionally, you can identify and eliminate over-privileged, unnecessary, and untrusted connections, and receive alerts if any application exhibits suspicious behavior. This proactive approach not only safeguards your infrastructure but also promotes a culture of security awareness within your organization.

Scrut is a comprehensive AI-powered GRC platform designed to help organizations manage risk, security, and compliance in a more intelligent and automated way. It provides real-time insights into an organization’s security posture by monitoring risks across infrastructure, applications, employees, and third-party vendors. The platform automates key processes such as control monitoring, evidence collection, and audit preparation, reducing the burden of manual work. Scrut offers a library of pre-built compliance frameworks, policies, and templates, enabling faster implementation and continuous compliance. Its AI-powered teammates provide guidance for remediation, risk assessments, and compliance tasks, helping teams resolve issues quickly. The platform also supports customizable workflows, allowing businesses to tailor their security programs to their unique needs. With seamless integrations, Scrut connects with existing tools to streamline operations and improve collaboration. It enables organizations to manage multiple compliance frameworks simultaneously without redundancy. The system ensures audit readiness by continuously tracking compliance status and validating evidence. Overall, Scrut empowers organizations to move beyond basic compliance and build a proactive, scalable security program.

Tessell simplifies the deployment of cloud databases with elegance and ease. Our comprehensive managed database service handles all your data infrastructure and management requirements efficiently. Transform high-performance computing into a robust framework that guarantees zero data loss. Ensure enterprise-grade protection for your database with features like multi-AZ high availability, cross-region disaster recovery, and business continuity planning. Enjoy policy-driven, consumer-grade data management across various environments such as Production, UAT, QA, and Development, all centralized in one platform. Managed and hosted by Tessell, you can set up a fully-managed database service in less than ten minutes with just a few straightforward steps. Whether you choose to use your own data or opt for sample data, you can fully utilize the data applications available. Modernizing your databases is a breeze with just a single click using Tessell, which also guarantees optimal performance at a fraction of the cost. Safeguard your production database with continuous backups of transactional data and logs, while also enabling the creation and storage of diverse data types, including table dumps and anonymized data, for use in secondary environments. This innovative approach not only enhances data management but also streamlines operational efficiency across your organization.

Conductor serves as a dynamic platform tailored for visual storytellers, enabling them to create and render content on an extensive scale. With its elastic, scalable, and secure infrastructure, Conductor alleviates the burden of compute-intensive operations, allowing studios, artists, and technologists to perform production-scale rendering swiftly and seamlessly in the cloud. Designed by artists for artists, Conductor is founded on three core principles: user-friendliness, collaboration, and time optimization. Our dedicated team comprises both cloud experts and VFX technical artists who are committed to enhancing the user experience and continually pushing the boundaries of cloud-based rendering capabilities. Additionally, our engineers take great pleasure in developing sophisticated solutions to intricate challenges, ensuring that creativity can thrive without technical limitations.

Explore over 20 different types of resources and seamlessly navigate to the AWS console across various accounts and regions. With context-aware syntax highlighting, you can easily identify pertinent details within your Cloudwatch logs. Additionally, you can swiftly browse and query your DynamoDB tables, utilizing a full-text search to locate your data efficiently. Lola is an incredibly fast desktop application available for macOS, Windows, and Linux platforms. Simply install and launch the app—there's no need to modify your AWS account settings. It’s designed to enhance your cloud management experience without any complicated setup.

Seamlessly connect your clouds, locations, users, and even SD-WAN fabrics, all while ensuring comprehensive end-to-end security. Instantly bring together users, locations, and cloud services into a unified experience. Enhance your network with segmentation and utilize integrated troubleshooting tools, all within a single platform. There’s no need to invest in hardware, download software, or familiarize yourself with new cloud environments; you only pay for what you utilize, making your network flexible and adaptable. Achieve unparalleled visibility across your entire cloud network, regardless of provider, platform, or geographic constraints. With Alkira Cloud Network as a Service, you can implement genuine end-to-end security that safeguards essential infrastructure and sensitive business information. Alkira’s Cloud Network is specifically designed and built for the cloud, eliminating the need for agent deployment or additional virtual management overheads. By streamlining the process, Alkira transforms networking, enabling you to provision and deploy cloud networking and security resources in mere minutes, thus enhancing operational efficiency. Embrace a new era of networking with Alkira, where simplicity and security come together for optimal performance.

At Vaex.io, our mission is to make big data accessible to everyone, regardless of the machine or scale they are using. By reducing development time by 80%, we transform prototypes directly into solutions. Our platform allows for the creation of automated pipelines for any model, significantly empowering data scientists in their work. With our technology, any standard laptop can function as a powerful big data tool, eliminating the need for clusters or specialized engineers. We deliver dependable and swift data-driven solutions that stand out in the market. Our cutting-edge technology enables the rapid building and deployment of machine learning models, outpacing competitors. We also facilitate the transformation of your data scientists into proficient big data engineers through extensive employee training, ensuring that you maximize the benefits of our solutions. Our system utilizes memory mapping, an advanced expression framework, and efficient out-of-core algorithms, enabling users to visualize and analyze extensive datasets while constructing machine learning models on a single machine. This holistic approach not only enhances productivity but also fosters innovation within your organization.

The modern workplace has evolved into a hybrid model, with a significant portion of employees working remotely, accessing essential business applications and data from diverse locations and utilizing various devices in unique ways. Consequently, organizations worldwide are striving to shift from traditional hardware-centric IT frameworks to entirely software-defined infrastructures. Their goal is to empower employees to maintain productivity, security, and a seamless experience, irrespective of their physical locations or the devices and networks they engage with. However, they face numerous challenges, including concerns over data security, the complexities of IT infrastructure, and the rising costs related to establishing a robust digital workspace. In response to these challenges, Accops Digital Workspace offers a comprehensive end-user computing solution grounded in zero-trust principles, facilitating secure and immediate access to business applications from any location, device, or network. The suite of solutions provided by Accops also encompasses virtualization for end-user computing, ensuring that users have a reliable and efficient experience tailored to their needs. This innovative approach not only addresses the immediate demands of the hybrid workforce but also sets the stage for future advancements in digital work environments.

Accops HyWorks empowers today’s workforce with the ability to work flexibly and dynamically from any location, device, and time, significantly boosting job satisfaction and engagement among employees. This all-encompassing solution streamlines the management and security of applications, devices, and networks, ensuring that employees have safe and seamless access to the essential tools they need to excel in their roles. Furthermore, its centralized endpoint management simplifies the oversight of all devices, virtual desktops, and applications from a single point, making it incredibly efficient. Not only does HyWorks foster a secure work environment, but it also alleviates complexities that can distract employees from their core business functions, allowing them to channel their creativity more effectively, which in turn enhances productivity and lowers costs. By virtualizing and delivering desktop applications from a centralized data center, organizations can maintain control over every device, app, and operating system within their network, effectively preventing potential security breaches. The result is a harmonized workplace where technology enhances rather than hinders business operations.

ClusterLion simplifies infrastructure by eliminating the necessity for intricate clusters, shared storage, and other advanced systems, which helps maintain business continuity and cut down on expenses. By doing so, it also lessens operational complexity, leading to significant cost savings. Available in two specific versions, ClusterLion for SAP and ClusterLion for MetroCluster, it caters to various business needs. In the event of a failure, ClusterLion promptly shuts down the affected side to prevent split-brain syndrome and transitions services to the unaffected side seamlessly. With ClusterLion for MetroCluster, other services remain operational even after the storage switch-over, ensuring uninterrupted service delivery. It provides a secure environment for your data while simplifying the management of your infrastructure and reducing operational demands. Additionally, due to its complete independence from any specific infrastructure, ClusterLion for MetroCluster stands out as the sole solution capable of addressing these critical challenges in the market today. By choosing ClusterLion, businesses can focus on their core operations without the burden of complex technical requirements.

RestoreManager seamlessly integrates with your systems and extracts essential metadata from files, establishing a centralized database that allows for the efficient search of specific documents. This tool enables users to recover files that were previously deemed irretrievable by conducting thorough searches based on criteria such as name, file type, date, or size. Specifically designed for Network Attached Storage (NAS), RestoreManager enhances your current backup strategies. As data volumes grow, the challenge of backing up all information becomes increasingly complex. It offers a criteria-driven search capability for locating lost or deleted files within ONTAP Snapshots. Additionally, it provides integration with both primary and secondary systems, ensuring comprehensive visibility across your data landscape. Users can experience notable time savings thanks to its rapid and intuitive search capabilities. The solution allows for backups and restorations to any S3 target, whether located in an on-premises data center or in the cloud, facilitating flexible data management. Moreover, its installation process is straightforward, allowing for easy incorporation into existing infrastructures. The licensing model is uncomplicated and does not depend on the volume of data managed, making it an accessible option for various organizations. Ultimately, RestoreManager helps streamline data recovery processes, making it an invaluable tool in today's data-driven environment.

Establish entity resolution workflows in just minutes instead of taking months to finalize. Set up sophisticated matching techniques tailored to enhance data accuracy according to your specific business requirements. Safeguard your data and limit its transfer by accessing records at their source. AWS Entity Resolution enables you to identify and connect related records without the necessity of creating custom solutions. Leverage adaptable, customizable machine learning (ML) and rule-based methods to fine-tune record matching based on your business objectives. Eliminate duplicate records for more effective information analysis, prepare your data for artificial intelligence (AI) model training, and boost your overall business performance. By utilizing unified insights, you can deliver more pertinent experiences across your advertising and marketing efforts, customer support interactions, loyalty programs, and ecommerce activities. Additionally, link SKUs, UPCs, or proprietary product identifiers into a cohesive product record to enhance tracking across various stores and supply chains, fostering a more integrated approach to inventory management. Ultimately, this streamlined process not only enhances data integrity but also drives strategic decision-making across your organization.

Navigate through the overwhelming volume of findings, gain a comprehensive understanding of risks, streamline prioritization, and work together on remediation—all from a single platform. The rise of cloud, hybrid, and cloud-native applications introduces greater complexity and scalability challenges that outdated methods simply cannot tackle. Without sufficient context from their environments, security teams find it difficult to assess and rank the risks tied to various findings. The presence of duplicate alerts from numerous tools further complicates the task for security teams, making it harder to prioritize and designate responsibility for remediation efforts. Alarmingly, 60% of breaches arise from security alerts that organizations were aware of but could not effectively assign to the right stakeholders for resolution. It is essential to clarify stakeholder responsibilities, empower self-service remediation with clear, actionable recommendations, and enhance collaborative efforts through seamless integration with existing tools and workflows, thereby creating a more organized and responsive security environment. Additionally, fostering a proactive approach will enable teams to address issues before they escalate into significant threats.

The integration of external data represents a pivotal opportunity for businesses to enhance their competitive edge across various sectors, yet many organizations face challenges in navigating the complexities of its implementation. Demyst offers comprehensive tools to assist you in identifying, acquiring, and utilizing the appropriate external data, with our specialists collaborating with you throughout the entire process. You can easily explore and immediately implement data from Demyst’s extensive catalog of sources, or our knowledgeable team can suggest and facilitate the onboarding of new options from any external data provider worldwide. Our certification program for data providers ensures that we thoroughly vet and procure data tailored to your requirements, all under a unified contractual agreement. By eliminating the dilemma of compliance versus speed, Demyst conducts continuous legal, privacy, and security assessments to guarantee that your data access remains both safe and compliant, typically onboarding new data within four weeks or less. Furthermore, Demyst expertly handles the final steps of implementation, allowing you to deploy and monitor the data you require through consistently formatted APIs or files, ensuring a seamless integration into your existing systems. This comprehensive approach streamlines your access to valuable information, empowering your business to thrive in an increasingly data-driven landscape.

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

Create your model in real-time as an interactive graph, enabling you to observe the data traversing through the visualized structure of your model. You can also modify the architecture at its most fundamental level. Graphbook offers complete transparency without hidden complexities, allowing you to see everything clearly. It performs live checks on data types and shapes, providing clear and comprehensible error messages that facilitate quick and efficient debugging. By eliminating the need to manage software dependencies and environmental setups, Graphbook enables you to concentrate on the architecture of your model and the flow of data while providing the essential computing resources. Cerbrec Graphbook serves as a visual integrated development environment (IDE) for AI modeling, simplifying what can often be a tedious development process into a more approachable experience. With an expanding community of machine learning practitioners and data scientists, Graphbook supports developers in fine-tuning language models like BERT and GPT, whether working with text or tabular data. Everything is seamlessly managed from the start, allowing you to visualize your model's behavior just as it will operate in practice, ensuring a smoother development journey. Additionally, the platform promotes collaboration by allowing users to share insights and techniques within the community.

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.

Explore a carefully designed portfolio of interconnected hardware and software, supported by a robust network of partners and a wide-ranging marketplace—our comprehensive strategy for addressing the challenges posed by digital transformation. We provide a tailored collection of modular software and IoT-capable hardware solutions, all constructed on standardized application programming interfaces to facilitate seamless interoperability. This framework allows for straightforward integration and maintenance of your business operations. Siemens Xcelerator fosters an open ecosystem that promotes collaborative innovation among customers, Siemens, and certified partners, encompassing everything from major technology firms to independent software creators. This collaborative environment enhances the scope for customization, ensuring that solutions align perfectly with your organization's specific requirements. Just like any vibrant local marketplace, this platform serves as the convergence point for diverse offerings, enhancing overall functionality and user experience.

Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment.

Modern businesses base their decisions on data. Modern privacy legislation focuses on the security and privacy data. Some businesses are built around data. As businesses move to the cloud and become more digital, it is even more important to secure data. Cloud computing offers many benefits, including flexibility and scalability. However, it also poses new challenges in terms of data protection. The sheer volume of data an organization must protect is one of the biggest challenges. Cloud computing allows enterprises to store and generate vast amounts of data with greater ease than ever before. This data is often scattered across multiple platforms and locations making it difficult to protect and track. DataGuard DSPM extends zero-trust to your hybrid cloud data stores. It develops a full understanding of the data types, where they are stored, who has access and how they're secured.

Streamline the processes of data discovery, safeguarding, and governance within your cloud workloads and SaaS applications. Effortlessly locate all instances of vulnerable sensitive data across these platforms, enabling a reduction in the potential data attack surface. Recognize and categorize sensitive information like personally identifiable information (PII), protected health information (PHI), payment card information (PCI), and proprietary company intellectual property to mitigate the risk of data breaches. Gain real-time, actionable insights on strategies to secure your cloud data and uphold compliance standards. Implement robust data access protocols to ensure minimal access privileges, bolster your security framework, and enhance resilience against cyber threats. This proactive approach not only protects your assets but also fosters a culture of security awareness within your organization.

We detect, eliminate, and manage shadow access, which refers to unauthorized and unmonitored access to cloud data, applications, and infrastructure, ensuring that potential attackers cannot exploit these vulnerabilities. By adopting an automated and risk-focused strategy, we revolutionize cloud Identity and Access Management (IAM) operations to secure and oversee cloud data effectively. This approach enables cloud and security teams to swiftly analyze all data access patterns, including who is accessing the data, what they are accessing, when and where it happens, along with understanding the reasoning behind the access and its implications for cloud data security. Stack Identity safeguards cloud data by emphasizing both the risks and impacts associated with identity, access, and data vulnerabilities, all of which are illustrated through our real-time data attack map. We assist in addressing various access risks—both human and API-related—while guiding identity practitioners, governance, compliance teams, and data owners toward taking decisive actions. Additionally, we furnish SecOps and DevOps teams with a clear and transparent perspective on cloud security threats, enabling them to make informed decisions regarding data protection strategies. Ultimately, our comprehensive approach not only enhances security but also fosters a proactive culture of compliance and risk management within organizations.

Tromzo creates a comprehensive understanding of environmental and organizational factors spanning from code to cloud, enabling you to swiftly address significant risks within the software supply chain. By focusing on the remediation of risks at each layer, from code to cloud, Tromzo constructs a prioritized risk assessment that encompasses the entire supply chain, providing essential context. This contextual information aids users in identifying which specific assets are vital for the business, safeguarding those critical components from potential risks, and streamlining the remediation process for the most pressing issues. With a detailed inventory of software assets, including code repositories, software dependencies, SBOMs, containers, and microservices, you gain insight into what you possess, who manages it, and which elements are crucial for your business's success. Additionally, by assessing the security posture of each team through metrics such as SLA compliance and MTTR, you can effectively promote risk remediation efforts and establish accountability throughout the organization. Ultimately, Tromzo empowers teams to prioritize their security measures, ensuring that the most important risks are addressed promptly and effectively.

Implement preventive measures and safeguard all cloud interactions during both the development and operational phases, irrespective of your usage methods. The task of identifying cloud misconfigurations often places a significant strain on the teams that must respond to and rectify alerts. While it is well-recognized that prevention represents the most effective form of control, no solution has previously existed that simplifies the enforcement of preventive cloud security across all services, until now. Kivera empowers organizations by allowing them to establish precise cloud guardrails tailored to their needs. Achieve foundational protection for your enterprise with ease. By utilizing a single click, you can activate essential safeguards designed to address the most frequent sources of cloud breaches—basic misconfigurations—and ensure that your cloud environment remains secure. This innovative approach not only enhances security but also streamlines compliance efforts across your organization.