Alternatives to NVIDIA DOCA
Compare NVIDIA DOCA alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA DOCA in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA DOCA competitors and alternatives in order to make an informed decision for your business.
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NVIDIA Onyx
NVIDIA
NVIDIA® Onyx® delivers a new level of flexibility and scalability to next-generation data centers. Onyx has tight turnkey integrations with popular hyperconverged and software-defined storage solutions. With its robust layer-3 protocol stack, built-in monitoring and visibility tools, and high-availability mechanisms, Onyx is an ideal network operating system for enterprise and cloud data centers. Run your custom containerized applications side by side with NVIDIA Onyx. Eliminate the need for one-off servers and seamlessly shrinkwrap solutions into the networking infrastructure. Strong integration with popular hyper-converged infrastructure and software-defined storage solutions. Classic network operating system with a traditional command-line interface (CLI) Single-line command to configure, monitor, and troubleshoot remote direct-memory access over converged Ethernet (RoCE) Support for containerized applications with complete access to the software development kit (SDK). -
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MayaScale
ZettaLane Systems
Build powerful NVMe over Fabrics high-performance shared storage solution with MayaScale. Consolidate direct attached NVMe resources into shared storage pool and provision flexible NVMe namespaces to clients demanding high performance with low latency. When finished the clients can return NVMe storage space back to storage pool. No more over-provisioning or stranded NVMe storage space as is the case with Direct Attached storage. This network agnostic solution uses RDMA for on-premises and standard TCP on cloud. True NVMe device is visible to client using standard NVMe driver stack without need for any proprietary driver extensions. Configure and deploy NVMe over Fabrics SAN infrastructure at rack scale in your data center by pooling heterogeneous NVMe devices over RDMA capable interconnect. This includes ROCE, iWARP or Infiniband. Even on public Cloud, experience NVMe over Fabrics using the standard TCP/IP protocol without need for any specialized RDMA hardware or SRIOV virtualization. -
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HPE Synergy
Hewlett Packard Enterprise
HPE Synergy is a composable, software-defined infrastructure for hybrid cloud environments, enabling you to compose fluid pools of physical and virtual compute, storage, and fabric resources into any configuration for any workload under a unified API, all available as a service through HPE GreenLake. Manage one infrastructure that supports current and next-gen apps, each with vastly diverse infrastructure requirements and service-level objectives. Accelerate application and service delivery through a single interface that precisely composes infrastructure at near-instant speeds. Engineered with software-defined intelligence at its core and powered by HPE OneView, HPE Synergy enables you to stand up services in minutes with a single line of code. Accelerate your business with a developer-friendly infrastructure. The unified API allows you to automate infrastructure operations with an extensive ecosystem of partners. -
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NVIDIA Holoscan
NVIDIA
NVIDIA® Holoscan is a domain-agnostic AI computing platform that delivers the accelerated, full-stack infrastructure required for scalable, software-defined, and real-time processing of streaming data running at the edge or in the cloud. Holoscan supports a camera serial interface and front-end sensors for video capture, ultrasound research, data acquisition, and connection to legacy medical devices. Use the NVIDIA Holoscan SDK’s data transfer latency tool to measure complete, end-to-end latency for video processing applications. Access AI reference pipelines for radar, high-energy light sources, endoscopy, ultrasound, and other streaming video applications. NVIDIA Holoscan includes optimized libraries for network connectivity, data processing, and AI, as well as examples to create and run low-latency data-streaming applications using either C++, Python, or Graph Composer. -
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HPE OneView
Hewlett Packard Enterprise
Integrated IT infrastructure management software that automates IT operations, HPE OneView simplifies infrastructure lifecycle management across computing, storage, and networking. Use automation as the foundation of your modern data center when you transform servers, storage, and networking into a software-defined infrastructure. HPE OneView takes a software-defined approach to manage IT infrastructure with efficient workflow automation, a modern dashboard, and a comprehensive partner ecosystem. Software-defined intelligence enables automated provisioning with repeatable templates that ensure high reliability, consistency, and control, leading to lower operating expenses. Easily provision and manage physical infrastructure using HPE OneView’s software-defined templates and APIs to define and automate infrastructure configuration and lifecycle operations. IT Infrastructure automation streamlines IT operations and improves staff productivity. -
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NVIDIA AI Data Platform
NVIDIA
NVIDIA's AI Data Platform is a comprehensive solution designed to accelerate enterprise storage and optimize AI workloads, facilitating the development of agentic AI applications. It integrates NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software to enhance performance and accuracy in AI workflows. NVIDIA AI Data Platform optimizes workload distribution across GPUs and nodes, leveraging intelligent routing, load balancing, and advanced caching to enable scalable, complex AI processes. This infrastructure supports the deployment and scaling of AI agents across hybrid data centers, transforming raw data into actionable insights in real-time. With the platform, enterprises can process and extract insights from structured or unstructured data, unlocking valuable insights from all available data sources, text, PDF, images, and video. -
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Oracle Cloud Infrastructure provides fast, flexible, and affordable compute capacity to fit any workload need from performant bare metal servers and VMs to lightweight containers. OCI Compute provides uniquely flexible VM and bare metal instances for optimal price-performance. Select exactly the number of cores and the memory your applications need. Delivering high performance for enterprise workloads. Simplify application development with serverless computing. Your choice of technologies includes Kubernetes and containers. NVIDIA GPUs for machine learning, scientific visualization, and other graphics processing. Capabilities such as RDMA, high-performance storage, and network traffic isolation. Oracle Cloud Infrastructure consistently delivers better price performance than other cloud providers. Virtual machine-based (VM) shapes offer customizable core and memory combinations. Customers can optimize costs by choosing a specific number of cores.Starting Price: $0.007 per hour
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Microsoft System Center
Microsoft
Stay in control of your IT—across your environment and platforms—with System Center. Simplify the deployment, configuration, management, and monitoring of your infrastructure and virtualized software-defined datacenter, while increasing agility and performance. Diagnose and troubleshoot infrastructure, workload, or application issues to maintain reliability and high performance. Deploy and manage your software-defined datacenter with a comprehensive solution for networking, storage, compute, and security. -
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hosted·ai
hosted·ai
hosted·ai is a turnkey neocloud platform for turning servers and GPUs into efficient, profitable AI cloud infrastructure and services. It combines GPU orchestration, monetization, and neocloud operations while software-defining GPU resources to enable true multi-tenancy, dynamic scheduling, capacity sharing, and configurable overcommit. GPU pools can support shared or dedicated use cases, with isolated workloads, adaptive scheduling, and flexible allocation designed to push utilization toward 100% and serve more customers per GPU. It supports elastic GPUaaS, bare metal GPU servers, GPU-enabled virtual machines, AI as a service, model libraries, bring-your-own-model deployments, tokenized AI workloads, and traditional CPU, storage, and networking services. GPU Mesh adds wholesale capacity on demand and gives infrastructure owners another channel for selling idle resources.Starting Price: $750 per month -
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Ormuco Stack
Ormuco
For small to hyperscale-style infrastructure as a service, with bare metal, virtual machines, containers and more Ormuco Infrastructure as a Service (or Ormuco Stack) is your all-in-one software solution with: Containers - Get the full power and benefits of microservices. Kubernetes - Augment your potential w/ the most popular container orchestration system. OpenStack - True innovation comes from using the most recent and stable version of the platform as an engine. Software-Defined Everything - Provide highly scalable network, compute & storage /w both commodity and high-range equipment. -
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Vexata
Vexata
The Vexata VX‑100F unleashes the performance of NVMe over fabrics (NVMe-oF) to deliver breakthrough economics and transformative performance. The Vexata architecture removes excess latency from the storage controller to consistently deliver high performance at scale to accelerate application response time. Real-time analytics requires heavy data ingest and processing, Vexata Accelerated Data Architecture delivers more throughput and faster response times. Vexata shatters the traditional cost/performance barrier with a scalable solid state storage platform that accelerates application and analytics ecosystems. VX-Cloud is the first and only software-defined solution built to support all Machine Learning stages to support the performance and scale of cognitive and AI workloads for Cloud scale and economics. -
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StorPool Storage
StorPool
StorPool is a high-performance software-defined primary data storage platform that helps organizations get more performance, efficiency, and value from their IT infrastructure. StorPool transforms standard servers and NVMe SSDs into highly available, scalable shared block storage, delivering ultra-low latency, high throughput, and consistent performance for demanding workloads. The platform supports virtualization, cloud, Kubernetes, databases, AI, and other mission-critical workloads across hyperconverged, disaggregated, and hybrid architectures. StorPool integrates with Proxmox VE, Oracle Virtualization, Apache CloudStack, OpenStack, OpenNebula, and Kubernetes, providing flexibility to modernize infrastructure and move beyond VMware. Enterprise capabilities include thin provisioning, snapshots and clones, replication, Quality of Service (QoS), automated disaster recovery, and non-disruptive operations and scaling. -
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IREN Cloud
IREN
IREN’s AI Cloud is a GPU-cloud platform built on NVIDIA reference architecture and non-blocking 3.2 TB/s InfiniBand networking, offering bare-metal GPU clusters designed for high-performance AI training and inference workloads. The service supports a range of NVIDIA GPU models with specifications such as large amounts of RAM, vCPUs, and NVMe storage. The cloud is fully integrated and vertically controlled by IREN, giving clients operational flexibility, reliability, and 24/7 in-house support. Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models. -
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Sangfor aStor
Sangfor
Sangfor aStor is a software‑defined storage solution that unifies block, file, and object storage into a single, elastically expandable resource pool using a fully symmetrical distributed architecture, enabling on‑demand allocation of high‑performance and cost‑optimized, large‑capacity tiers to suit diverse service requirements. Available as either integrated hardware‑software or standalone software, it scales from just three commodity x86 nodes and supports cloud‑scale clusters of thousands of nodes with EB‑level capacity expansion. Its multi‑node parallel processing and intelligent caching (using RDMA, SSD hot‑data cache, and layering) deliver extremely high throughput, IOPS, and small‑IO performance, boosting cache hit rates to 90% and small‑IO handling by up to 65%, while distributed metadata management ensures jitter‑free handling of billions of files. -
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NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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AWS AI Factories
Amazon
AWS AI Factories is a fully-managed solution that embeds high-performance AI infrastructure directly into a customer’s own data center. You supply the space and power, and AWS deploys a dedicated, secure AI environment optimized for training and inference. It includes leading AI accelerators (such as AWS Trainium chips or NVIDIA GPUs), low-latency networking, high-performance storage, and integration with AWS’s AI services, such as Amazon SageMaker and Amazon Bedrock, giving immediate access to foundational models and AI tools without separate licensing or contracts. AWS handles the full deployment, maintenance, and management, eliminating the typical months-long effort to build comparable infrastructure. Each deployment is isolated, operating like a private AWS Region, which meets strict data sovereignty, compliance, and regulatory requirements, making it particularly suited for sectors with sensitive data. -
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AceCloud
AceCloud
AceCloud is a comprehensive public cloud and cybersecurity platform designed to support businesses with scalable, secure, and high-performance infrastructure. Its public cloud services include compute options tailored for RAM-intensive, CPU-intensive, and spot instances, as well as cloud GPU offerings featuring NVIDIA A2, A30, A100, L4, L40S, RTX A6000, RTX 8000, and H100 GPUs. It provides Infrastructure as a Service (IaaS), enabling users to deploy virtual machines, storage, and networking resources on demand. Storage solutions encompass object storage, block storage, volume snapshots, and instance backups, ensuring data integrity and accessibility. AceCloud also offers managed Kubernetes services for container orchestration and supports private cloud deployments, including fully managed cloud, one-time deployment, hosted private cloud, and virtual private servers.Starting Price: $0.0073 per hour -
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NetApp AIPod
NetApp
NetApp AIPod is a comprehensive AI infrastructure solution designed to streamline the deployment and management of artificial intelligence workloads. By integrating NVIDIA-validated turnkey solutions, such as NVIDIA DGX BasePOD™ and NetApp's cloud-connected all-flash storage, AIPod consolidates analytics, training, and inference capabilities into a single, scalable system. This convergence enables organizations to rapidly implement AI workflows, from model training to fine-tuning and inference, while ensuring robust data management and security. With preconfigured infrastructure optimized for AI tasks, NetApp AIPod reduces complexity, accelerates time to insights, and supports seamless integration into hybrid cloud environments. -
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Bring data services to container environments with a flexible, software-defined storage solution for hybrid cloud. IBM Storage Suite for IBM Cloud Paks provides the combined power of open source with Red Hat data services and award-winning IBM software-defined storage offerings designed to simplify the deployment of IBM Cloud Pak solutions while enabling a reliable and efficient storage foundation across your hybrid cloud.Bring data services to container environments with a flexible, software-defined storage solution for hybrid cloud. IBM Storage Suite for IBM Cloud Paks provides the combined power of open source with Red Hat data services and award-winning IBM software-defined storage offerings designed to simplify the deployment of IBM Cloud Pak solutions while enabling a reliable and efficient storage foundation across your hybrid cloud.
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Megaport
Megaport
Megaport is an automated infrastructure platform for private compute, network, and storage. Its software-defined platform enables businesses to deploy secure infrastructure globally and on demand through an easy-to-use portal or open API. Customers can build and scale infrastructure closer to their users, data, and clouds with greater agility and speed than traditional approaches. Megaport partners with leading cloud providers, data center operators, systems integrators, and managed service providers worldwide. The Megaport Network is ISO/IEC 27001 certified.Starting Price: $100 per month -
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NVIDIA Magnum IO
NVIDIA
NVIDIA Magnum IO is the architecture for parallel, intelligent data center I/O. It maximizes storage, network, and multi-node, multi-GPU communications for the world’s most important applications, using large language models, recommender systems, imaging, simulation, and scientific research. Magnum IO utilizes storage I/O, network I/O, in-network compute, and I/O management to simplify and speed up data movement, access, and management for multi-GPU, multi-node systems. It supports NVIDIA CUDA-X libraries and makes the best use of a range of NVIDIA GPU and networking hardware topologies to achieve optimal throughput and low latency. In multi-GPU, multi-node systems, slow CPU, single-thread performance is in the critical path of data access from local or remote storage devices. With storage I/O acceleration, the GPU bypasses the CPU and system memory, and accesses remote storage via 8x 200 Gb/s NICs, achieving up to 1.6 TB/s of raw storage bandwidth. -
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FPT Cloud
FPT Cloud
FPT Cloud is a next‑generation cloud computing and AI platform that streamlines innovation by offering a robust, modular ecosystem of over 80 services, from compute, storage, database, networking, and security to AI development, backup, disaster recovery, and data analytics, built to international standards. Its offerings include scalable virtual servers with auto‑scaling and 99.99% uptime; GPU‑accelerated infrastructure tailored for AI/ML workloads; FPT AI Factory, a comprehensive AI lifecycle suite powered by NVIDIA supercomputing (including infrastructure, model pre‑training, fine‑tuning, model serving, AI notebooks, and data hubs); high‑performance object and block storage with S3 compatibility and encryption; Kubernetes Engine for managed container orchestration with cross‑cloud portability; managed database services across SQL and NoSQL engines; multi‑layered security with next‑gen firewalls and WAFs; centralized monitoring and activity logging. -
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QCT STRATOS
QCT
QCT (Quanta Cloud Technology) STRATOS servers are a comprehensive family of hyperscale, software-defined data center solutions designed to meet the evolving demands of cloud computing, storage, and networking workloads. The STRATOS series encompasses a wide range of server form factors, including rackmount, blade, and multi-node servers, offering versatile and customizable configurations to address diverse deployment requirements. With a focus on energy efficiency, high density, and scalability, QCT STRATOS servers are optimized for use in large-scale data centers, cloud service providers, and high-performance computing (HPC) environments. Key features of the STRATOS series include support for the latest Intel or AMD processors, high-capacity memory configurations, flexible storage options, and innovative thermal management for optimal performance. QCT's STRATOS servers also emphasize ease of management and integration with software-defined infrastructure to enable IT operations. -
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NVIDIA EGX Platform
NVIDIA
From rendering and virtualization to engineering analysis and data science, accelerate multiple workloads on any device with the NVIDIA® EGX™ Platform for professional visualization. A highly flexible reference design that combines high-end NVIDIA GPUs with NVIDIA virtual GPU (vGPU) software and high-performance networking, these systems deliver exceptional graphics and compute power, enabling artists and engineers to do their best work—from anywhere—at a fraction of the cost, space, and power of CPU-based solutions. The EGX Platform combined with NVIDIA RTX Virtual Workstation (vWS) software can simplify deployment of a high-performance, cost-effective infrastructure, providing a solution that is tested and certified with industry-leading partners and ISV applications on trusted OEM servers. It enables professionals to do their work from anywhere, while increasing productivity, improving data center utilization, and reducing IT and maintenance costs. -
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Red Hat® Hyperconverged Infrastructure—based on our leading OpenStack® and virtualization platforms—provides co-located, scalable, software-defined compute and storage, automated by Red Hat Ansible® Automation Platform on economical, industry-standard hardware. Reduce deployment time, decrease operating costs, and streamline roll-out on a compact footprint. Manage your compute, network, and storage resources from a single interface. Support modern workloads with scalable architectures on industry-standard hardware. Consolidate planning, design, procurement, training, management, upgrades, and support with a single Red Hat subscription. Put more power on the network edge where skilled resources and space are limited. Tap into the innovation of upstream communities with the assurance of enterprise-ready capabilities and without being locked into proprietary offerings.
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OneSource Cloud
OneSource Cloud
OneSource Cloud designs, builds, and manages sovereign AI infrastructure for organizations in regulated industries that cannot run sensitive workloads on public cloud: healthcare and life sciences, financial services, government and defense, energy, legal, and research. We deliver dedicated GPU compute as a managed service. Scope covers cluster design, hardware procurement, data center colocation, deployment, and ongoing operations. Clusters use NVIDIA GPUs with InfiniBand interconnect for multi-node training and inference, backed by high-performance storage and private networking. Each customer gets an isolated, single-tenant environment, so data and models never share hardware with another tenant. Managed services include capacity planning, provisioning, workload scheduling, monitoring, patching, and support. Environments are configured to the customer's compliance requirements, including NIST 800-171 and data residency controls. We operate 20,000+ GPUs across 96+ DCs -
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StorMagic SvHCI
StorMagic
StorMagic SvHCI is a hyperconverged infrastructure (HCI) solution that incorporates hypervisor, software-defined storage, and virtualized networking into a single software stack. With SvHCI, your organization can virtualize your entire infrastructure without the significant financial commitment required by other solutions on the market. SvHCI provides high availability with a unique cluster architecture of just 2 nodes. Data is synchronously mirrored between the two nodes, meaning an exact copy is always available on either node. If one node goes offline, the StorMagic witness maintains the cluster's health, keeping stores open, production lines moving and services running until the failed node is restored. A single StorMagic witness located anywhere in the world can service 1000 StorMagic clusters simultaneously. -
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CTERA
CTERA Networks
Gain infinite storage capacity without adding hardware through intelligent edge caching and elastic cloud scale. Deliver modern remote working solutions by helping distributed office and WFH users store, access, and collaborate on files efficiently from any device or location. Control data sovereignty and enable GDPR compliance with best-of-breed infrastructure ranging from 100% private to public and hybrid cloud storage solutions. Replace traditional storage and backup systems with a cloud file system powered by software-defined file services over object storage. The CTERA Enterprise File Services Platform enables organizations to connect remote sites and users over a single namespace and deliver HQ-grade data access experiences from any edge location or device. -
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GIGABYTE Rack Server
GIGABYTE
Scalable rack servers have a high level of flexibility and are optimized for demanding applications in the data center. Rack density from 1U to 5U, servers are designed for single and multi-socket options for x86 processors from AMD and Intel as well as for ARM processors from Ampere. For Big Data, high-performance computing, hyper-converged infrastructure, software-defined storage, and virtualization. -
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NVIDIA Open Agent Safety Platform is an open reference design for continuously monitoring and governing AI agent behavior, helping organizations keep agents isolated, observable, auditable, and within defined operational boundaries. It combines runtime governance, continuous threat detection, and hardware-isolated policy enforcement to secure enterprise AI agents from testing through deployment. NVIDIA OpenShell provides an open-source runtime that separates how agents execute from how they reach data, tools, and external systems, using sandboxed execution and deterministic, zero-trust policy enforcement to control what agents can see, do, and interact with. Policies are enforced outside the agent process, helping limit the impact of unexpected behavior. NVIDIA Sentry adds an independent security layer that observes agent requests and responses, establishes verifiable agent identities, continuously governs access to data, tools, APIs, and services, and can quarantine agents.
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Netris
Netris
Netris distinguishes itself from traditional network automation by offering cloud provider-style network automation and abstraction suitable for both multi-tenant public cloud providers and private cloud environments. Manage highly-available networks on your own hardware at any scale for delivering private, public, and GPU cloud services. Connect your hardware, and let Netris software handle the heavy lifting. From traditional networking equipment to AI/ML-optimized NVIDIA Spectrum-X GPU network fabrics, Netris provides a unified control plane to manage networking for mixed workloads in multi-tenant cloud environments. Enable essential cloud networking constructs, such as Virtual Private Clouds (VPCs), internet gateways, NAT gateways, network access control, elastic load balancers, DHCP, and more, that are compatible with bare metal, virtual machines, Docker, and Kubernetes workloads. -
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NVIDIA Air
NVIDIA
Data center infrastructure is growing in complexity and requires efficient solutions that simplify network operations. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. NVIDIA Air allows users to model data center deployments with full software functionality, creating a digital twin. Transform and streamline network operations by simulating, validating, and automating changes and updates. Create 1-for-1 virtual data center replicas with hundreds of switches and servers. Deploy with confidence through the automation of patches and security updates. Share simulations with colleagues and enhance your training and skill transfer. Get access to key NVIDIA networking software through Air without paying a dime. NVIDIA Air runs in the cloud and supports the simulation of the Cumulus Linux and SONiC network operating systems, as well as the NetQ network operations toolset. -
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NVIDIA Base Command
NVIDIA
NVIDIA Base Command™ is a software service for enterprise-class AI training that enables businesses and their data scientists to accelerate AI development. Part of the NVIDIA DGX™ platform, Base Command Platform provides centralized, hybrid control of AI training projects. It works with NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. Base Command Platform, in combination with NVIDIA-accelerated AI infrastructure, provides a cloud-hosted solution for AI development, so users can avoid the overhead and pitfalls of deploying and running a do-it-yourself platform. Base Command Platform efficiently configures and manages AI workloads, delivers integrated dataset management, and executes them on right-sized resources ranging from a single GPU to large-scale, multi-node clusters in the cloud or on-premises. Because NVIDIA’s own engineers and researchers rely on it every day, the platform receives continuous software enhancements. -
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Proxmox VE
Proxmox Server Solutions
Proxmox VE is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface. -
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Nutanix Cloud Infrastructure
Nutanix
Standardize on powerful and secure hyperconverged infrastructure to deliver all applications and data at any scale, on any cloud. Power your business with advanced cloud technologies and simplify how you procure, deploy, and manage IT services. Accelerate your most demanding applications with consistent and predictable performance. Data locality maximizes the benefits of the latest hardware advances like NVMe and RDMA. Data is protected and kept available with advanced distributed consistency algorithms that protect against everything from bit rot and hardware failures to entire site failure. Storage can be sized precisely for your needs and expanded quickly and easily as needs grow. Storage policies are applied logically on a per-workload basis, instead of being tied to hardware. -
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WhiteFiber
WhiteFiber
WhiteFiber is a vertically integrated AI infrastructure platform offering high-performance GPU cloud and HPC colocation solutions tailored for AI/ML workloads. Its cloud platform is purpose-built for machine learning, large language models, and deep learning, featuring NVIDIA H200, B200, and GB200 GPUs, ultra-fast Ethernet and InfiniBand networking, and up to 3.2 Tb/s GPU fabric bandwidth. WhiteFiber's infrastructure supports seamless scaling from hundreds to tens of thousands of GPUs, with flexible deployment options including bare metal, containers, and virtualized environments. It ensures enterprise-grade support and SLAs, with proprietary cluster management, orchestration, and observability software. WhiteFiber's data centers provide AI and HPC-optimized colocation with high-density power, direct liquid cooling, and accelerated deployment timelines, along with cross-data center dark fiber connectivity for redundancy and scale. -
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Lumen Edge Private Cloud
Lumen Technologies
Match your IT vision to your business goals with a Software-Defined Data Center (SDDC). Lumen® Private Cloud on VMware Cloud Foundation™ brings together compute, storage and network virtualization into a natively integrated stack that transforms the data center to meet the demands of the digital age. Boost application performance and reduce risk by eliminating complex processes and setting security policies that follow workloads. Modernize and enable agile services-oriented IT that simplifies management, reduces the burden on IT staff and delivers new environments in minutes. Leverage existing tools, eliminate investments in new hardware and use a predictable cost model to know exactly what you’re spending. Hyper-converged infrastructure based on HPE® or Dell hardware to build around applications, not infrastructure. -
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Apcela Arcus
Apcela
Apcela designs and manages cloud-optimized, software-defined enterprise networks. Apcela Arcus Platform allows enterprises to easily plug their existing network into a software-defined WAN that was built for today’s multicloud environment. Delivered as a service, Apcela is applying the speed and flexibility that we’ve grown to love about the cloud, to the network that connects it. Apcela Arcus Connect is our core product and enables Enterprises to easily extend their WAN across data centers, branch offices, distributed users, and the cloud. This fully managed service provides an SD-WAN overlay connected to Apcela’s global backbone, leveraging cloud and internet gateways across 60+ AppHubs worldwide to accelerate performance. Apcela Arcus Connect begins with an SD-WAN overlay to allow enterprises to intelligently route traffic based on business needs. Internet traffic can be offloaded directly to the public internet. -
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VMware Cloud Foundation
Broadcom
Our new multi-cloud offering includes VMware Cloud Foundation-Subscription (includes Tanzu Standard), which adds a flexible term-based licensing option for on-premises deployments. VMware Cloud Foundation supports both traditional enterprise and modern apps and provides a complete set of highly secure software-defined services for compute, storage, network, security, Kubernetes and cloud management Increase enterprise agility and flexibility with consistent infrastructure and operations across private and public clouds. Achieve reduced CapEx and OpEx and lower TCO with consistent operations and the broadest range of deployment options. Run workloads at scale without compromise with consistent infrastructure for both existing enterprises applications and modern containerized applications. Provision agile infrastructure from a pool of virtualized resources on premises, at the edge, or in the cloud. -
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kMetal
CLASTIX
kMetal is a bare metal Kubernetes platform from Clastix. It provisions physical servers, provides virtualization natively through kernel-based KVM, manages software-defined tenant networking, and builds and rolls out immutable node operating systems, all declared as Kubernetes resources. Platform teams use it to deliver self-service Kubernetes clusters on hardware they own, with no separate hypervisor layer underneath. Each tenant receives a dedicated control plane, an isolated network, and enforced quotas. kMetal is assembled from established open source cloud native projects with no proprietary forks, and the clusters it delivers are CNCF-conformant upstream Kubernetes. -
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NEC ProgrammableFlow
NEC Corporation of America
Enabling modern IT environments, NEC's ProgrammableFlow® networking suite achieves greater organizational agility. As a pioneer of the first commercially available Software-Defined Networking (SDN) solution using OpenFlow protocol, our technology enables full network virtualization and allows enterprises, data centers and service providers to easily deploy, control, monitor and manage secure multi-tenant network infrastructure. Today’s network professionals are constantly challenged to perform a variety of tasks, which, in many cases, are routine tasks that are error prone. Manual tasks steal time away from more valuable activities. NEC’s SDN solution, ProgrammableFlow Networking Suite, streamlines security, reduces operational costs, and optimizes the ability to manage and control networks. Enables faster, easier deployment and management of Unified Communications (UC) networks. Delivers simplified provisioning and dynamic, on demand, allocation of critical network resources. -
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NVIDIA NemoClaw
NVIDIA
NemoClaw from NVIDIA is an AI development framework designed to help developers build and deploy intelligent AI agents and automation workflows. Built on NVIDIA’s NeMo ecosystem, the platform provides tools for creating advanced AI applications powered by large language models and GPU acceleration. NemoClaw allows developers to integrate AI agents that can interact with data, tools, and external services to perform complex tasks automatically. The framework supports scalable deployment on NVIDIA GPUs, enabling high-performance AI processing for demanding workloads. Developers can use NemoClaw to build applications such as conversational agents, workflow automation tools, and AI-powered assistants. The platform also includes capabilities for integrating custom tools and APIs, giving agents the ability to perform real-world actions. By combining NVIDIA’s AI infrastructure with agent-based development, NemoClaw helps organizations build powerful AI-driven systems efficiently.Starting Price: Free -
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Lambda
Lambda.ai
Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance. -
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Nutanix AOS Storage
Nutanix
Nutanix AOS Storage is a modern, software-defined storage solution that replaces traditional SAN and NAS systems with a highly automated, high-performance, and scalable infrastructure. It delivers enterprise-grade capabilities through a distributed architecture, ensuring high availability and resilience. Key features include data locality, which stores data close to the application for low latency; intelligent tiering, automatically optimizing data placement between SSD and HDD tiers; and advanced data protection mechanisms like granular snapshots and self-healing capabilities. AOS Storage allows for linear scaling of performance and capacity, enabling organizations to start small and expand seamlessly as their needs evolve. Additionally, it offers flexibility in hypervisor choice and supports various data services, making it suitable for a wide range of applications and workloads. -
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UpCloud
UpCloud
UpCloud is a global cloud infrastructure provider designed to help businesses deploy and manage modern applications with high performance and reliability. The platform offers scalable cloud servers, managed databases, Kubernetes services, and storage solutions through a unified cloud environment. UpCloud focuses on delivering fast and reliable infrastructure supported by a strong service level agreement and real-time customer support. Businesses can deploy resources across multiple global data centers, enabling flexible infrastructure for distributed applications and workloads. The platform also includes networking tools such as load balancers, VPN gateways, and software-defined networking. Transparent pricing and zero outbound traffic costs help organizations manage cloud spending more predictably. With a focus on performance, security, and simplicity, UpCloud helps companies build and scale cloud-based services.Starting Price: $5 per month -
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VMware Private AI Foundation
VMware
VMware Private AI Foundation is a joint, on‑premises generative AI platform built on VMware Cloud Foundation (VCF) that enables enterprises to run retrieval‑augmented generation workflows, fine‑tune and customize large language models, and perform inference in their own data centers, addressing privacy, choice, cost, performance, and compliance requirements. It integrates the Private AI Package (including vector databases, deep learning VMs, data indexing and retrieval services, and AI agent‑builder tools) with NVIDIA AI Enterprise (comprising NVIDIA microservices like NIM, NVIDIA’s own LLMs, and third‑party/open source models from places like Hugging Face). It supports full GPU virtualization, monitoring, live migration, and efficient resource pooling on NVIDIA‑certified HGX servers with NVLink/NVSwitch acceleration. Deployable via GUI, CLI, and API, it offers unified management through self‑service provisioning, model store governance, and more. -
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NVIDIA Isaac Sim
NVIDIA
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.Starting Price: Free -
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NVIDIA Quadro Virtual Workstation delivers Quadro-level computing power directly from the cloud, allowing businesses to combine the performance of a high-end workstation with the flexibility of cloud computing. As workloads grow more compute-intensive and the need for mobility and collaboration increases, cloud-based workstations, alongside traditional on-premises infrastructure, offer companies the agility required to stay competitive. The NVIDIA virtual machine image (VMI) comes with the latest GPU virtualization software pre-installed, including updated Quadro drivers and ISV certifications. The virtualization software runs on select NVIDIA GPUs based on Pascal or Turing architectures, enabling faster rendering and simulation from anywhere. Key benefits include enhanced performance with RTX technology support, certified ISV reliability, IT agility through fast deployment of GPU-accelerated virtual workstations, scalability to match business needs, and more.
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IBM VersaStack
IBM
The VersaStack solution, jointly developed by IBM and Cisco, combines a comprehensive set of converged infrastructure and software-defined technologies to help speed digital transformation. VersaStack brings new levels of ease, efficiency, and versatility to cloud, big data, and enterprise application deployments. Deliver autonomous data center operations, and lower capital expenditures, operating expenses and TCO. Dynamically allocate resources from pooled compute, network and storage resources, on-prem or in the cloud. Support hybrid and ITaaS to enable on-premises, private cloud, and public cloud deployments. VersaStack delivers IT automation and versatile infrastructure that is enabled for public cloud, private cloud and hybrid cloud environments. Address capacity needs with all-flash and hybrid data storage options; optimize existing storage solutions; and support block, file and object data. -
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Cisco's collaboration with Nutanix delivers a comprehensive hyper converged infrastructure solution that integrates computing, storage, and networking resources into a unified, software-defined platform. This partnership leverages Cisco's Unified Computing System (UCS) hardware and Intersight management platform alongside Nutanix's software capabilities to provide a scalable and efficient HCI environment. The solution offers zero-touch operations from the data center to the edge, enhancing resilience through natively integrated networking and allowing independent scaling of compute and storage resources to meet evolving application needs. It supports various configurations, including Cisco's C-Series rack servers and the modular X-Series systems, catering to diverse enterprise requirements. Management is streamlined via Cisco Intersight, enabling deployment, configuration, and oversight of hyper-converged systems from a single interface accessible anytime and anywhere.
