Alternatives to NVIDIA DOCA

Create a robust NVMe over Fabrics high-performance shared storage solution with MayaScale that allows for the integration of directly attached NVMe resources into a unified storage pool. This solution enables the flexible provisioning of NVMe namespaces to clients who require high performance with minimal latency. After usage, clients have the option to return NVMe storage back to the shared pool, eliminating issues associated with over-provisioning or unutilized NVMe storage typical of direct-attached setups. The network-agnostic architecture employs RDMA for on-premises deployments and standard TCP for cloud environments, ensuring versatility. Clients can access true NVMe devices using a conventional NVMe driver stack, negating the need for any proprietary drivers. You can easily configure and implement NVMe over Fabrics SAN infrastructure at rack scale in your data center by aggregating diverse NVMe devices through RDMA-compatible connections, such as ROCE, iWARP, or Infiniband. Furthermore, even in public cloud settings, users can harness the benefits of NVMe over Fabrics via the standard TCP/IP protocol, which eliminates the requirement for specialized RDMA hardware or SRIOV virtualization. This innovative approach optimizes resource utilization while maintaining high performance across various deployment scenarios.

NVIDIA® Onyx® provides an innovative approach to flexibility and scalability tailored for the next generation of data centers. This platform features seamless turnkey integrations with leading hyperconverged and software-defined storage solutions, enhancing operational efficiency. Equipped with a robust layer-3 protocol stack, integrated monitoring tools, and high-availability features, Onyx serves as an excellent network operating system for both enterprise and cloud environments. Users can effortlessly run their custom containerized applications alongside NVIDIA Onyx, effectively eliminating the reliance on bespoke servers and integrating solutions directly into the networking framework. Its strong compatibility with popular hyper-converged infrastructures and software-defined storage solutions further reinforces its utility. Onyx also retains the essence of a classic network operating system, offering a traditional command-line interface (CLI) for ease of use. A single-line command simplifies the configuration, monitoring, and troubleshooting of remote direct-memory access over converged Ethernet (RoCE), while comprehensive support for containerized applications allows full access to the software development kit (SDK). This combination of features positions NVIDIA Onyx as a cutting-edge choice for modern data center needs.

HPE OneView is a comprehensive IT infrastructure management solution that streamlines IT operations through automation, simplifying the management of computing, storage, and networking lifecycles. By transitioning to a software-defined infrastructure, organizations can leverage automation to enhance their modern data centers, transforming servers, storage, and networking for optimal efficiency. This platform employs a software-defined methodology to oversee IT infrastructure, featuring efficient workflow automation, a user-friendly dashboard, and a robust ecosystem of partners. The intelligence embedded in the software supports automated provisioning with consistent templates, ensuring high reliability and control, which subsequently reduces operating costs. With HPE OneView, users can effortlessly provision and manage physical infrastructure through software-defined templates and APIs, facilitating the automation of configuration and lifecycle operations. By adopting IT infrastructure automation, businesses can not only streamline their operations but also significantly boost employee productivity in the process. Ultimately, HPE OneView empowers organizations to achieve greater agility and responsiveness in their IT environments.

HPE Synergy offers a flexible, software-defined infrastructure tailored for hybrid cloud settings, allowing the creation of dynamic pools of both physical and virtual compute, storage, and networking resources in any desired arrangement for various workloads, all managed through a single API and delivered as a service via HPE GreenLake. You can oversee a cohesive infrastructure capable of supporting both current applications and future innovations, even when they have significantly different infrastructure needs and service-level expectations. This approach not only speeds up application and service delivery through an intuitive interface that can configure infrastructure almost instantaneously, but it also incorporates advanced software-defined intelligence, powered by HPE OneView, enabling the deployment of services in mere minutes with just a line of code. Enhance your organization's agility with a developer-friendly infrastructure that streamlines operations. Furthermore, the unified API facilitates the automation of infrastructure tasks, integrating seamlessly with a broad array of partner solutions to maximize efficiency and innovation.

NVIDIA's AI Data Platform stands as a robust solution aimed at boosting enterprise storage capabilities while optimizing AI workloads, which is essential for the creation of advanced agentic AI applications. By incorporating NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software, it significantly enhances both performance and accuracy in AI-related tasks. The platform effectively manages workload distribution across GPUs and nodes through intelligent routing, load balancing, and sophisticated caching methods, which are crucial for facilitating scalable and intricate AI operations. This framework not only supports the deployment and scaling of AI agents within hybrid data centers but also transforms raw data into actionable insights on the fly. Furthermore, with this platform, organizations can efficiently process and derive insights from both structured and unstructured data, thereby unlocking valuable information from diverse sources, including text, PDFs, images, and videos. Ultimately, this comprehensive approach helps businesses harness the full potential of their data assets, driving innovation and informed decision-making.

NVIDIA® Holoscan is a versatile AI computing platform that provides the necessary accelerated, comprehensive infrastructure for efficient, software-defined, and real-time processing of streaming data, whether at the edge or in the cloud. This platform facilitates video capture and data acquisition through its support for camera serial interfaces and various front-end sensors, making it suitable for applications such as ultrasound research and integration with older medical devices. Users can utilize the data transfer latency tool found in the NVIDIA Holoscan SDK to accurately assess the complete, end-to-end latency associated with video processing tasks. Additionally, AI reference pipelines are available for a range of applications, including radar, high-energy light sources, endoscopy, and ultrasound, covering diverse streaming video needs. NVIDIA Holoscan is equipped with specialized libraries that enhance network connectivity, data processing capabilities, and AI functionalities, complemented by practical examples that aid developers in creating and deploying low-latency data-streaming applications using C++, Python, or Graph Composer. By leveraging its robust features, users can achieve seamless integration and optimal performance across various domains.

Maintain oversight of your IT landscape—regardless of the environment or platforms you utilize—through System Center. Streamline the processes of deployment, configuration, management, and monitoring for your infrastructure and virtualized software-defined datacenter, thereby enhancing both agility and performance. Identify and resolve issues related to infrastructure, workloads, or applications to ensure consistent reliability and optimal performance. Implement and oversee your software-defined datacenter with an all-encompassing solution that addresses networking, storage, computing, and security needs. This comprehensive approach not only boosts efficiency but also empowers your organization to adapt swiftly to changing demands.

Oracle Cloud Infrastructure (OCI) offers a range of compute options that are not only speedy and flexible but also cost-effective, catering to various workload requirements, including robust bare metal servers, virtual machines, and efficient containers. OCI Compute stands out by providing exceptionally adaptable VM and bare metal instances that ensure optimal price-performance ratios. Users can tailor the exact number of cores and memory to align with their applications' specific demands, which translates into high performance for enterprise-level tasks. Additionally, the platform simplifies the application development process through serverless computing, allowing users to leverage technologies such as Kubernetes and containerization. For those engaged in machine learning, scientific visualization, or other graphic-intensive tasks, OCI offers NVIDIA GPUs designed for performance. It also includes advanced capabilities like RDMA, high-performance storage options, and network traffic isolation to enhance overall efficiency. With a consistent track record of delivering superior price-performance compared to other cloud services, OCI's virtual machine shapes provide customizable combinations of cores and memory. This flexibility allows customers to further optimize their costs by selecting the precise number of cores needed for their workloads, ensuring they only pay for what they use. Ultimately, OCI empowers organizations to scale and innovate without compromising on performance or budget.

Small to large-scale infrastructure services, including virtual machines, containers, and bare metal. Ormuco Infrastructure as a Service, or Ormuco Stack, is your all-in one software solution. Containers - Enjoy the full power and benefits microservices. Kubernetes: Maximize your potential with the most popular container orchestration software. OpenStack - Innovation comes from using the latest stable version of the platform and engine. Software-Defined Every - Provides highly scalable network, compute and storage /w both high-range and commodity equipment.

hosted·ai is a comprehensive neocloud platform designed to transform servers and GPUs into a highly efficient and lucrative AI cloud infrastructure and service offering. This platform integrates GPU orchestration, monetization, and neocloud management, effectively software-defining GPU resources to facilitate genuine multi-tenancy, dynamic scheduling, capacity sharing, and customizable overcommitment. Its GPU pools are capable of accommodating both shared and dedicated scenarios, utilizing isolated workloads alongside adaptive scheduling and versatile allocation strategies aimed at maximizing utilization to nearly 100%, thereby allowing more clients to be served per GPU. The system is equipped to handle elastic GPU as a Service (GPUaaS), bare metal GPU servers, GPU-optimized virtual machines, AI as a service, model libraries, bring-your-own-model implementations, tokenized AI workloads, along with conventional CPU, storage, and networking solutions. Additionally, the GPU Mesh feature provides on-demand wholesale capacity, offering infrastructure owners an extra avenue to monetize idle resources while enhancing overall service availability. This innovative approach ensures that AI capabilities can be leveraged more effectively across various applications and industries.

StorPool provides a fully managed primary storage platform that businesses can use to host mission-critical workloads from their own datacenters. We make it easy to convert standard servers with NVMe SSDs to high-performance, linearly scaling primary storage systems. StorPool is a superior alternative for high-end SANs or All-Flash Arrays (AFA) and mid-range SANs for companies building private or public clouds. StorPool is more reliable, agile, faster, and more cost-effective than other primary storage products. It is a great replacement for legacy storage architectures such as mid- or high-end primary arrays. Your cloud computing offering will deliver exceptional performance, reliability, and a higher ROI.

The Vexata VX‑100F harnesses the power of NVMe over fabrics (NVMe-oF) to achieve exceptional economic efficiency and transformative performance. By eliminating unnecessary latency associated with the storage controller, the Vexata architecture ensures consistently high performance at scale, significantly enhancing application response times. This performance is particularly crucial for real-time analytics, which demands substantial data ingestion and processing capabilities; the Vexata Accelerated Data Architecture meets these needs by providing increased throughput and quicker response times. Furthermore, Vexata breaks through the conventional cost/performance limitations with a scalable solid-state storage solution designed to boost both application and analytics ecosystems. Additionally, VX-Cloud stands out as the first and only software-defined platform that caters to every stage of Machine Learning, ensuring optimal performance and scalability for cognitive and AI workloads, all while maintaining cloud-scale economics. With these innovations, Vexata is setting a new standard in the data storage landscape.

Sangfor aStor represents an innovative software-defined storage solution that consolidates block, file, and object storage into a cohesive, elastically scalable resource pool, utilizing a fully symmetrical distributed architecture to facilitate on-demand provisioning of high-performance and cost-effective storage tiers tailored to various service needs. It can be deployed as either an integrated hardware-software system or as standalone software, with the ability to scale from a minimal setup of three commodity x86 nodes to expansive cloud-scale clusters comprising thousands of nodes, allowing for EB-level capacity growth. The system's multi-node parallel processing and intelligent caching mechanisms—including RDMA, SSD hot-data caching, and layering—achieve exceptional throughput, IOPS, and performance with small I/O operations, significantly enhancing cache hit rates to 90% and improving small I/O processing by as much as 65%. Additionally, its distributed metadata management ensures the seamless handling of billions of files without any significant latency, making it a robust solution for modern storage challenges. Overall, Sangfor aStor stands out as a versatile and powerful option for organizations looking to optimize their storage infrastructure.

IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.

AWS AI Factories offers a comprehensive, managed solution that integrates powerful AI infrastructure seamlessly into a client’s data center. You provide the necessary space and power, while AWS sets up a secure, dedicated AI environment tailored for both training and inference tasks. The solution incorporates top-tier AI accelerators, including AWS Trainium chips and NVIDIA GPUs, along with low-latency networking, high-performance storage, and direct connections to AWS’s AI services like Amazon SageMaker and Amazon Bedrock. This setup grants users immediate access to foundational models and essential AI tools without the need for separate licensing agreements. AWS takes care of the entire deployment, maintenance, and management processes, which significantly reduces the typical lengthy timeline associated with constructing similar infrastructure. Each installation functions independently, resembling a private AWS Region, ensuring compliance with stringent data sovereignty, regulatory, and compliance standards. This makes it especially advantageous for industries that handle sensitive information, providing peace of mind alongside advanced technology solutions. The combination of high performance and secure access positions AWS AI Factories as a leading choice for organizations seeking to leverage AI effectively.

NVIDIA Confidential Computing safeguards data while it is actively being processed, ensuring the protection of AI models and workloads during execution by utilizing hardware-based trusted execution environments integrated within the NVIDIA Hopper and Blackwell architectures, as well as compatible platforms. This innovative solution allows businesses to implement AI training and inference seamlessly, whether on-site, in the cloud, or at edge locations, without requiring modifications to the model code, all while maintaining the confidentiality and integrity of both their data and models. Among its notable features are the zero-trust isolation that keeps workloads separate from the host operating system or hypervisor, device attestation that confirms only authorized NVIDIA hardware is executing the code, and comprehensive compatibility with shared or remote infrastructures, catering to ISVs, enterprises, and multi-tenant setups. By protecting sensitive AI models, inputs, weights, and inference processes, NVIDIA Confidential Computing facilitates the execution of high-performance AI applications without sacrificing security or efficiency. This capability empowers organizations to innovate confidently, knowing their proprietary information remains secure throughout the entire operational lifecycle.

Enhance your container environments with a versatile, software-defined storage solution tailored for hybrid cloud applications. The IBM Storage Suite for IBM Cloud Paks merges the strengths of open-source technologies alongside Red Hat data services and IBM's celebrated software-defined storage solutions, streamlining the implementation of IBM Cloud Pak offerings while ensuring a dependable and effective storage infrastructure throughout your hybrid cloud. This innovative approach not only simplifies deployment but also fosters an environment conducive to both scalability and performance.

AceCloud serves as an all-encompassing public cloud and cybersecurity solution, aimed at providing businesses with a flexible, secure, and efficient infrastructure. The platform's public cloud offerings feature a range of computing options tailored for various needs, including RAM-intensive, CPU-intensive, and spot instances, along with advanced GPU capabilities utilizing NVIDIA models such as A2, A30, A100, L4, L40S, RTX A6000, RTX 8000, and H100. By delivering Infrastructure as a Service (IaaS), it allows users to effortlessly deploy virtual machines, storage solutions, and networking resources as needed. Its storage offerings include object and block storage, along with volume snapshots and instance backups, all designed to maintain data integrity and ensure easy access. In addition, AceCloud provides managed Kubernetes services for effective container orchestration and accommodates private cloud setups, offering options such as fully managed cloud solutions, one-time deployments, hosted private clouds, and virtual private servers. This holistic approach enables organizations to optimize their cloud experience while enhancing security and performance.

You can speed up the process of setting up and deploying connections to services that your business uses. You can quickly and easily set up a network without having to do complicated configurations or siloed tasks. Simply point and click to connect to your Megaport account. Connect to cloud services, managed service, and data centers in a matter of seconds. You can move your workloads instantly so you can concentrate on what's next. Access the cloud from anywhere you are, and easily move your data between different locations. You can get direct network access to the services that you need, even if your location is not near a cloud-on-ramp location. Find your nearest Megaport location. You can adjust the connectivity settings right away and dial up or down as needed.

NetApp AIPod presents a holistic AI infrastructure solution aimed at simplifying the deployment and oversight of artificial intelligence workloads. By incorporating NVIDIA-validated turnkey solutions like the NVIDIA DGX BasePOD™ alongside NetApp's cloud-integrated all-flash storage, AIPod brings together analytics, training, and inference into one unified and scalable system. This integration allows organizations to efficiently execute AI workflows, encompassing everything from model training to fine-tuning and inference, while also prioritizing data management and security. With a preconfigured infrastructure tailored for AI operations, NetApp AIPod minimizes complexity, speeds up the path to insights, and ensures smooth integration in hybrid cloud settings. Furthermore, its design empowers businesses to leverage AI capabilities more effectively, ultimately enhancing their competitive edge in the market.

QCT (Quanta Cloud Technology) offers the STRATOS series, a robust lineup of hyperscale, software-defined data center solutions tailored to accommodate the dynamic needs of cloud computing, storage, and networking tasks. This series features an array of server types, such as rackmount, blade, and multi-node configurations, providing adaptable and customizable setups to suit various deployment scenarios. Prioritizing energy efficiency, high density, and scalability, QCT STRATOS servers are specifically engineered for large-scale data centers, cloud service providers, and high-performance computing (HPC) settings. Among the standout attributes of the STRATOS series are compatibility with cutting-edge Intel or AMD processors, extensive memory configurations, flexible storage capabilities, and advanced thermal management systems for peak performance. Additionally, these servers facilitate straightforward management and seamless integration with software-defined infrastructure, enhancing overall IT operations and efficiency. With their innovative design and powerful features, QCT's STRATOS servers are positioned to meet the future challenges of an ever-evolving technological landscape.

NVIDIA Magnum IO serves as the framework for efficient and intelligent I/O in data centers operating in parallel. It enhances the capabilities of storage, networking, and communications across multiple nodes and GPUs to support crucial applications, including large language models, recommendation systems, imaging, simulation, and scientific research. By leveraging storage I/O, network I/O, in-network compute, and effective I/O management, Magnum IO streamlines and accelerates data movement, access, and management in complex multi-GPU, multi-node environments. It is compatible with NVIDIA CUDA-X libraries, optimizing performance across various NVIDIA GPU and networking hardware configurations to ensure maximum throughput with minimal latency. In systems employing multiple GPUs and nodes, the traditional reliance on slow CPUs with single-thread performance can hinder efficient data access from both local and remote storage solutions. To counter this, storage I/O acceleration allows GPUs to bypass the CPU and system memory, directly accessing remote storage through 8x 200 Gb/s NICs, which enables a remarkable achievement of up to 1.6 TB/s in raw storage bandwidth. This innovation significantly enhances the overall operational efficiency of data-intensive applications.

Red Hat® Hyperconverged Infrastructure, leveraging our premier OpenStack® and virtualization solutions, offers a co-located and scalable approach to software-defined computing and storage, all automated through the Red Hat Ansible® Automation Platform on cost-effective, standard hardware. This system enhances deployment efficiency, lowers operational costs, and facilitates streamlined roll-outs even within limited physical spaces. Users can manage their compute, network, and storage capabilities through a unified interface. It supports contemporary workloads with adaptable architectures, ensuring compatibility with widely-used hardware. By consolidating planning, design, procurement, training, management, upgrades, and support into a single Red Hat subscription, organizations can simplify their operations. Additionally, this infrastructure empowers users to extend capabilities to the network edge, where both skilled labor and physical space may be constrained. Furthermore, it enables users to leverage innovations from upstream communities while providing the confidence of enterprise-ready solutions, all without the constraints of proprietary systems. This flexibility allows organizations to remain agile and responsive to changing technological demands.

FPT Cloud represents an advanced cloud computing and AI solution designed to enhance innovation through a comprehensive and modular suite of more than 80 services, encompassing areas such as computing, storage, databases, networking, security, AI development, backup, disaster recovery, and data analytics, all adhering to global standards. Among its features are scalable virtual servers that provide auto-scaling capabilities and boast a 99.99% uptime guarantee; GPU-optimized infrastructure specifically designed for AI and machine learning tasks; the FPT AI Factory, which offers a complete AI lifecycle suite enhanced by NVIDIA supercomputing technology, including infrastructure, model pre-training, fine-tuning, and AI notebooks; high-performance object and block storage options that are S3-compatible and encrypted; a Kubernetes Engine that facilitates managed container orchestration with portability across different cloud environments; as well as managed database solutions that support both SQL and NoSQL systems. Additionally, it incorporates sophisticated security measures with next-generation firewalls and web application firewalls, alongside centralized monitoring and activity logging features, ensuring a holistic approach to cloud services. This multifaceted platform is designed to meet the diverse needs of modern enterprises, making it a key player in the evolving landscape of cloud technology.

OneSource Cloud specializes in the design, construction, and management of sovereign AI infrastructure tailored for organizations in regulated sectors that cannot utilize public cloud for sensitive operations, such as healthcare and life sciences, financial services, government and defense, energy, legal, and research sectors. Our services include the provision of dedicated GPU compute as a managed offering, encompassing cluster design, hardware acquisition, data center colocation, deployment, and ongoing maintenance. The clusters are equipped with NVIDIA GPUs connected via InfiniBand for efficient multi-node training and inference, complemented by high-performance storage solutions and dedicated private networking. Each client benefits from a unique, isolated environment that ensures their data and models do not share hardware with other users, safeguarding their confidentiality. Our managed services extend to capacity planning, provisioning, workload scheduling, system monitoring, patching, and customer support. Each environment is meticulously configured to meet the client’s compliance standards, including regulations such as NIST 800-171 and specific data residency requirements. Currently, we operate over 20,000 GPUs across more than 96 data centers, ensuring robust support for our clients' complex needs in an increasingly data-sensitive landscape. This extensive infrastructure positions us as a leader in providing secure AI solutions for organizations facing strict regulatory demands.

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.

Achieve boundless storage capacity without the need for additional hardware by utilizing smart edge caching and scalable cloud solutions. Facilitate contemporary remote working environments by enabling users in distributed offices and those working from home to efficiently store, access, and collaborate on files across various devices and locations. Ensure data sovereignty while supporting GDPR compliance by employing top-tier infrastructure that includes entirely private, public, and hybrid cloud storage options. Transition away from conventional storage and backup systems by implementing a cloud file system that leverages software-defined file services built on object storage technology. The CTERA Enterprise File Services Platform empowers organizations to link remote sites and users under a unified namespace, providing high-quality data access experiences from any edge location or device. This transformative approach not only streamlines data management but also enhances collaboration in an increasingly digital workplace.

StorMagic SvHCI is an innovative hyperconverged infrastructure (HCI) solution that merges hypervisor capabilities, software-defined storage, and virtualized networking into a cohesive software package. By leveraging SvHCI, organizations can effectively virtualize their complete infrastructure while avoiding the hefty financial burdens typically associated with other market alternatives. The solution ensures high availability through a distinctive cluster setup that requires only two nodes. Data is continuously mirrored between these nodes, guaranteeing that an exact replica is accessible at all times on either node. In the event that one node becomes unavailable, the StorMagic witness ensures the ongoing health of the cluster, allowing stores to remain operational, production processes to continue, and services to function smoothly until the offline node is brought back online. Impressively, a single StorMagic witness, regardless of its location, is capable of managing up to 1000 StorMagic clusters at once, further enhancing operational efficiency and reliability. This scalability makes SvHCI an attractive option for businesses looking to streamline their IT infrastructure without compromising performance.

The NVIDIA Open Agent Safety Platform serves as an open reference framework designed to monitor and manage the behavior of AI agents continuously, ensuring that organizations can maintain agents that are isolated, observable, auditable, and operate within set boundaries. This platform integrates real-time governance, ongoing threat detection, and the enforcement of policies through hardware isolation, providing robust protection for enterprise AI agents from the initial testing phases all the way to deployment. The NVIDIA OpenShell contributes to this by offering an open-source runtime that differentiates the execution of agents from their access to data, tools, and outside systems, utilizing sandboxed environments and a zero-trust policy approach to strictly regulate agents' visibility, actions, and interactions. Policies are enforced externally to the agent process, effectively mitigating the risks associated with unpredicted behavior. Furthermore, NVIDIA Sentry enhances security by adding an extra layer that meticulously monitors agent requests and responses, verifies agent identities, and continuously manages access to data, tools, APIs, and services while also having the capability to isolate agents when necessary. This comprehensive approach ensures that organizations can safeguard their AI agents while promoting a secure and controlled operational environment.

Scalable rack servers offer exceptional flexibility and are specifically engineered for high-demand applications within data centers. With rack densities ranging from 1U to 5U, these servers accommodate both single and multi-socket configurations for x86 processors from major suppliers like AMD and Intel, in addition to supporting ARM processors from Ampere. They are well-suited for a variety of applications, such as Big Data analytics, high-performance computing, hyper-converged infrastructure, software-defined storage solutions, and virtualization technologies. Furthermore, their adaptability makes them an ideal choice for organizations aiming to optimize their IT infrastructure.

Proxmox VE serves as a comprehensive open-source solution for enterprise virtualization, seamlessly combining KVM hypervisor and LXC container technology, along with features for software-defined storage and networking, all within one cohesive platform. It also simplifies the management of high availability clusters and disaster recovery tools through its user-friendly web management interface, making it an ideal choice for businesses seeking robust virtualization capabilities. Furthermore, Proxmox VE's integration of these functionalities enhances operational efficiency and flexibility for IT environments.

Netris sets itself apart from conventional network automation solutions by delivering a cloud provider-like approach to network automation and abstraction that caters to both multi-tenant public clouds and private cloud infrastructures. You can oversee resilient networks on your own hardware at any scale, facilitating the provision of private, public, and GPU cloud services seamlessly. By simply connecting your hardware, you can allow Netris software to manage the complexities for you. Netris offers a cohesive control plane that supports a range of networking needs for diverse workloads in multi-tenant cloud settings, from traditional networking gear to AI/ML-optimized NVIDIA Spectrum-X GPU network fabrics. It empowers users to implement crucial cloud networking elements, including Virtual Private Clouds (VPCs), internet gateways, NAT gateways, network access control, elastic load balancers, DHCP, and more, while ensuring compatibility with bare metal, virtual machines, Docker, and Kubernetes workloads. With Netris, organizations can effortlessly scale their network operations while maintaining high levels of performance and reliability.

Apcela specializes in the design and management of cloud-optimized, software-defined enterprise networks. With the Apcela Arcus Platform, companies can seamlessly integrate their current networks into a software-defined WAN specifically engineered for the complexities of modern multicloud environments. Offered as a service, Apcela brings the agility and speed associated with cloud solutions to the network infrastructure that supports it. The cornerstone of Apcela’s offerings, the Arcus Connect product, empowers enterprises to effortlessly extend their WAN capabilities across various data centers, branch locations, remote users, and cloud services. This comprehensive managed service features an SD-WAN overlay that connects to Apcela’s global backbone, utilizing cloud and internet gateways found in over 60 AppHubs across the globe to enhance performance significantly. The Arcus Connect service initiates with an SD-WAN overlay that enables organizations to route traffic intelligently in accordance with their specific business requirements. Furthermore, it allows for the direct offloading of internet traffic to the public internet, thereby optimizing bandwidth usage and improving overall efficiency. By leveraging these advanced capabilities, Apcela ensures that enterprises can navigate the digital landscape with greater ease and effectiveness.

Align your IT strategy with your organizational objectives through a Software-Defined Data Center (SDDC). Lumen® Private Cloud powered by VMware Cloud Foundation™ integrates compute, storage, and network virtualization into a cohesive stack that revolutionizes the data center for the digital era. Enhance application performance while mitigating risks by streamlining processes and implementing security policies that adapt to workloads. This modernization facilitates the creation of agile, service-oriented IT environments that not only simplify management but also lessen the workload on IT teams, enabling the deployment of new settings in mere minutes. Utilize your current tools, avoid the need for new hardware investments, and benefit from a transparent cost structure that clearly outlines your expenses. Build hyper-converged infrastructure with HPE® or Dell hardware to focus on applications rather than the supporting infrastructure, ensuring optimal performance tailored to your needs. Ultimately, this approach paves the way for future innovations and growth within your organization.

NVIDIA Base Command™ is a software service designed for enterprise-level AI training, allowing organizations and their data scientists to expedite the development of artificial intelligence. As an integral component of the NVIDIA DGX™ platform, Base Command Platform offers centralized, hybrid management of AI training initiatives. It seamlessly integrates with both NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. By leveraging NVIDIA-accelerated AI infrastructure, Base Command Platform presents a cloud-based solution that helps users sidestep the challenges and complexities associated with self-managing platforms. This platform adeptly configures and oversees AI workloads, provides comprehensive dataset management, and executes tasks on appropriately scaled resources, from individual GPUs to extensive multi-node clusters, whether in the cloud or on-site. Additionally, the platform is continuously improved through regular software updates, as it is frequently utilized by NVIDIA’s engineers and researchers, ensuring it remains at the forefront of AI technology. This commitment to ongoing enhancement underscores the platform's reliability and effectiveness in meeting the evolving needs of AI development.

The intricacies of data center infrastructure are on the rise, necessitating advanced solutions that enhance the simplicity of network management. With NVIDIA Air, users can achieve cloud-scale efficiency by generating precise replicas of actual data center setups. This innovative tool enables the modeling of data center environments with complete software capabilities, effectively creating a digital twin. By simulating, validating, and automating modifications and updates, organizations can transform and optimize their network operations. Users can create one-to-one virtual replicas of data centers featuring numerous switches and servers. Confidence in deployment is heightened through the automation of essential patches and security updates. Additionally, sharing simulations with team members fosters improved training and knowledge transfer among colleagues. The platform provides complimentary access to critical NVIDIA networking software via Air, which operates seamlessly in the cloud. It also supports the simulation of Cumulus Linux and SONiC network operating systems, along with the comprehensive NetQ network operations toolset, ensuring users have the necessary resources to manage their networks effectively. This capability not only enhances operational efficiency but also empowers teams to adapt and innovate in a rapidly evolving digital landscape.

Adopt a robust and secure hyperconverged infrastructure to efficiently deliver all applications and data across any scale and cloud environment. Elevate your enterprise by leveraging cutting-edge cloud solutions and streamline the procurement, deployment, and management of IT services. Enhance the performance of your most critical applications with consistent and reliable outputs. By ensuring data locality, you can fully exploit the latest advancements in hardware, such as NVMe and RDMA. Data integrity and availability are maintained through sophisticated distributed consistency algorithms, safeguarding against various threats, including data corruption, hardware malfunctions, and total site outages. Storage solutions can be accurately tailored to your requirements and can be rapidly expanded as your needs evolve. Additionally, storage policies are implemented logically based on individual workloads, allowing for greater flexibility rather than being restricted to specific hardware configurations. This approach not only optimizes resource allocation but also enhances overall system efficiency and responsiveness.

WhiteFiber operates as a comprehensive AI infrastructure platform that specializes in delivering high-performance GPU cloud services and HPC colocation solutions specifically designed for AI and machine learning applications. Their cloud services are meticulously engineered for tasks involving machine learning, expansive language models, and deep learning, equipped with advanced NVIDIA H200, B200, and GB200 GPUs alongside ultra-fast Ethernet and InfiniBand networking, achieving an impressive GPU fabric bandwidth of up to 3.2 Tb/s. Supporting a broad range of scaling capabilities from hundreds to tens of thousands of GPUs, WhiteFiber offers various deployment alternatives such as bare metal, containerized applications, and virtualized setups. The platform guarantees enterprise-level support and service level agreements (SLAs), incorporating unique cluster management, orchestration, and observability tools. Additionally, WhiteFiber’s data centers are strategically optimized for AI and HPC colocation, featuring high-density power, direct liquid cooling systems, and rapid deployment options, while also ensuring redundancy and scalability through cross-data center dark fiber connectivity. With a commitment to innovation and reliability, WhiteFiber stands out as a key player in the AI infrastructure ecosystem.

Clastix offers kMetal, a Kubernetes platform that operates directly on physical servers without the need for a hypervisor layer. It utilizes kernel-based KVM for native virtualization, manages software-defined networking for tenants, and constructs immutable operating systems for nodes, all of which are represented as Kubernetes resources. This platform empowers teams to create self-service Kubernetes clusters on their own hardware, ensuring that each tenant enjoys a dedicated control plane, an isolated network, and strict resource quotas. kMetal is built using well-established open-source cloud-native technologies, avoiding proprietary modifications, and guarantees that the clusters it provisions conform to CNCF standards of upstream Kubernetes. Furthermore, this solution streamlines the deployment process while providing robust isolation and security for each tenant's environment.

Our latest multi-cloud solution features VMware Cloud Foundation-Subscription, which includes Tanzu Standard and introduces a flexible, term-based licensing model for on-premises implementations. This offering caters to both traditional enterprise applications and modern solutions, delivering a comprehensive suite of highly secure software-defined services encompassing compute, storage, networking, security, Kubernetes, and cloud management. By enabling consistent infrastructure and operations across both private and public clouds, businesses can enhance their agility and adaptability. Organizations can experience reduced capital and operational expenditures, alongside a lower total cost of ownership, thanks to standardized operations and an extensive variety of deployment alternatives. This solution allows for the efficient running of workloads at scale without sacrifices, ensuring a uniform infrastructure that supports both legacy enterprise applications and contemporary containerized systems. Additionally, it facilitates the seamless provisioning of dynamic infrastructure sourced from a pool of virtualized resources, whether on-premises, at the edge, or in the cloud, thereby optimizing overall resource utilization.

NemoClaw from NVIDIA is a framework designed to simplify the creation of AI agents and intelligent automation systems. The platform builds on NVIDIA’s NeMo ecosystem, which is known for enabling high-performance AI development using GPU acceleration. With NemoClaw, developers can design agents that understand instructions, interact with software tools, and automate complex workflows. The framework supports integration with large language models, allowing AI agents to process natural language and perform advanced reasoning tasks. Developers can connect these agents to APIs, databases, and enterprise tools so they can gather information and execute actions. NemoClaw is optimized for scalable deployment on NVIDIA GPU infrastructure, making it suitable for production-grade AI systems. The platform helps developers create applications such as virtual assistants, AI copilots, and automated decision-making systems. It also supports modular development, enabling teams to add new capabilities or tools to agents over time. By leveraging NVIDIA’s AI technologies, NemoClaw provides a reliable environment for building sophisticated AI-driven automation. Overall, the framework helps organizations accelerate the development of intelligent AI agents that can handle complex real-world tasks.

NEC's ProgrammableFlow® networking suite enhances agility within contemporary IT environments. As the originator of the first commercially available Software-Defined Networking (SDN) solution utilizing the OpenFlow protocol, our technology facilitates complete network virtualization, empowering enterprises, data centers, and service providers to effortlessly deploy, control, monitor, and manage secure multi-tenant network infrastructures. Network professionals today face numerous challenges, often dealing with routine and error-prone tasks that consume valuable time and detract from more critical activities. The manual nature of these tasks can hinder productivity, making automation essential. NEC’s SDN solution, the ProgrammableFlow Networking Suite, not only streamlines security but also lowers operational expenses and enhances network management capabilities. It enables the rapid and straightforward deployment and management of Unified Communications (UC) networks, while also offering simplified provisioning and the dynamic, on-demand allocation of essential network resources. This innovative approach ensures that organizations can adapt more swiftly to evolving demands and maximize their operational efficiency.

UpCloud is a cloud computing platform that provides high-performance infrastructure for businesses building and running modern applications. The platform offers a wide range of services including cloud servers, GPU servers, managed databases, Kubernetes orchestration, and multiple storage options. Organizations can deploy workloads across a global network of data centers, ensuring reliable access and scalable infrastructure for digital services. UpCloud emphasizes performance and reliability through its infrastructure design and strong service level agreements. The platform includes integrated networking features such as load balancing, VPN gateways, and software-defined networking for secure connectivity. Businesses can also manage large volumes of data through block storage, file storage, and object storage solutions. UpCloud’s transparent pricing model helps customers avoid unexpected cloud costs by eliminating outbound traffic fees. Security and compliance are prioritized through EU data protection regulations and ISO-certified infrastructure standards. The platform also provides 24/7 technical support from experienced engineers to assist customers with cloud operations. By combining performance-focused infrastructure with developer-friendly tools, UpCloud helps organizations deploy and scale applications efficiently.

Nutanix AOS Storage represents an innovative approach to storage solutions, moving away from conventional SAN and NAS systems towards a highly automated, scalable, and high-performance infrastructure. Its distributed architecture provides enterprise-level capabilities, ensuring both high availability and resilience for critical applications. Among its standout features is data locality, which keeps data in close proximity to the application, thereby minimizing latency; intelligent tiering that efficiently manages data across SSD and HDD for optimal performance; and robust data protection features such as granular snapshots and self-healing functionalities. Furthermore, AOS Storage allows for linear scalability, enabling organizations to begin with a small setup and expand effortlessly as their requirements grow. With the added advantage of flexible hypervisor options and support for a variety of data services, it proves to be an adaptable solution that meets the diverse needs of different applications and workloads. This versatility makes Nutanix AOS Storage a compelling choice for businesses looking to modernize their storage infrastructure.

Lambda is building the cloud designed for superintelligence by delivering integrated AI factories that combine dense power, liquid cooling, and next-generation NVIDIA compute into turnkey systems. Its platform supports everything from rapid prototyping on single GPU instances to running massive distributed training jobs across full GB300 NVL72 superclusters. With 1-Click Clusters™, teams can instantly deploy optimized B200 and H100 clusters prepared for production-grade AI workloads. Lambda’s shared-nothing, single-tenant security model ensures that sensitive data and models remain isolated at the hardware level. SOC 2 Type II certification and caged-cluster options make it suitable for mission-critical use cases in enterprise, government, and research. NVIDIA’s latest chips—including the GB300, HGX B300, HGX B200, and H200—give organizations unprecedented computational throughput. Lambda’s infrastructure is built to scale with ambition, capable of supporting workloads ranging from inference to full-scale training of foundation models. For AI teams racing toward the next frontier, Lambda provides the power, security, and reliability needed to push boundaries.