Alternatives to NVIDIA Air
Compare NVIDIA Air alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA Air in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA Air competitors and alternatives in order to make an informed decision for your business.
-
1
Nlyte DCIM
Nlyte Software
Nlyte Software helps teams manage their hybrid infrastructure throughout their entire organization– from desktops, networks, servers, to IoT devices – across facilities, data centers, colocation, edge, and the cloud. Using Nlyte’s monitoring, management, inventory, workflow, and analytics capabilities, organizations can automate how they manage their hybrid infrastructure to reduce costs, improve uptime, and ensure compliance with organizational policies. Monitor end to end telemetry points to predict and optimize power and thermal efficiencies. Reduce disruptions from maintenance cycles. Predict and avoid unplanned outages. Optimize application workload placement. Integrating Building Automation Controls with DCIM software to more efficiently control the Data Center’s Critical Infrastructure. Integrated Data Center Management. -
2
Cruz Operations Center (CruzOC)
Dorado Software
CruzOC is a scalable multi-vendor network management and IT operations tool for robust yet easy-to-use netops. Key features of CruzOC’s integrated and automated management include performance monitoring, configuration management, and lifecycle management for 1000s of vendors and converging technologies. With CruzOC, administrators have implicit automation to control their data center operations and critical resources, improve network and service quality, accelerate network and service deployments, and lower operating costs. The result is comprehensive and automated problem resolution from a single-pane-of-glass. Cruz Monitoring & Management. NMS, monitoring & analytics -- health, NPM, traffic, log, change. Automation & configuration management -- compliance, security, orchestration, provisioning, patch, update, configuration, access control. Automated deployment -- auto-deploy, ZTP, remote deploy. Deployments available on-premise and from the cloud.Starting Price: $1350 -
3
NVIDIA NetQ
NVIDIA Networking
NVIDIA NetQ™ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus and SONiC fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem. NetQ natively supports NVIDIA® What Just Happened® (WJH) through the Spectrum® ASIC for hardware-accelerated detection and reporting of data plane anomalies and intermittent network issues. NetQ is also available as a secure cloud service, making it even easier to install, deploy, and scale your network. Leveraging a cloud-based deployment of NetQ offers instant upgrades, zero maintenance, and minimal appliance management efforts. Correlate configuration and operational status, and instantly identify and track state changes for your entire data center. -
4
SONiC
NVIDIA Networking
NVIDIA offers pure SONiC, a community-developed, open-source, Linux-based network operating system that has been hardened in the data centers of some of the largest cloud service providers. Pure SONiC through NVIDIA removes distribution limitations and lets enterprises take full advantage of the benefits of open networking—as well as the NVIDIA expertise, experience, training, documentation, professional services, and support that best guarantee success. NVIDIA provides support for Free Range Routing (FRR), SONiC, Switch Abstraction Interface (SAI), systems, and application-specific integrated circuits (ASIC)—all in one place. Unlike a distribution, SONiC doesn’t require reliance upon a single vendor for roadmap additions, bug fixes, or security patches. With SONiC, you can achieve unified management with existing management tools across the data center. -
5
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. -
6
Dell Enterprise SONiC
Dell Technologies
Enterprise SONiC Distribution by Dell Technologies is purpose-built for enterprise, cloud-level large-scale data center network environments that require the advanced scalability, manageability and global support from the leader in Open Networking. Enterprise SONiC Distribution by Dell Technologies integrates Linux-based, open source SONiC with a focused roadmap of features and enhancements to meet the needs of tier 2 cloud and large-scale enterprise networking environments. Enterprise SONiC Distribution by Dell Technologies is enterprise-class tested, validated across hardware and software, and integrates an ecosystem of partner management applications. Global enterprise-level support you expect with a choice of services that align with the unique needs of your data center environment. Proactive and preventive technologies to help get ahead of issues before impact. Comprehensive offerings for both hardware and software support. -
7
Linker Vision
Linker Vision
Linker VisionAI Platform is a comprehensive, end-to-end solution for vision AI, encompassing simulation, training, and deployment to empower smart cities and enterprises. It comprises three core components, Mirra, for synthetic data generation using NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, facilitating data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, enabling large-scale Vision Language Model (VLM) deployment with NVIDIA NIM. This integrated approach allows for the seamless transition from data simulation to real-world application, ensuring that AI models are robust and adaptable. Linker VisionAI Platform supports a range of applications, including traffic and transportation management, worker safety, disaster response, and more, by leveraging urban camera networks and AI to drive responsive decisions. -
8
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 -
9
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. -
10
NVIDIA Base Command Manager
NVIDIA
NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications. -
11
Bright Cluster Manager
NVIDIA
NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems. -
12
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. -
13
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). -
14
NVIDIA Blueprints
NVIDIA
NVIDIA Blueprints are reference workflows for agentic and generative AI use cases. Enterprises can build and operationalize custom AI applications, creating data-driven AI flywheels, using Blueprints along with NVIDIA AI and Omniverse libraries, SDKs, and microservices. Blueprints also include partner microservices, reference code, customization documentation, and a Helm chart for deployment at scale. With NVIDIA Blueprints, developers benefit from a unified experience across the NVIDIA stack, from cloud and data centers to NVIDIA RTX AI PCs and workstations. Use NVIDIA Blueprints to create AI agents that use sophisticated reasoning and iterative planning to solve complex problems. Check out new NVIDIA Blueprints, which equip millions of enterprise developers with reference workflows for building and deploying generative AI applications. Connect AI applications to enterprise data using industry-leading embedding and reranking models for information retrieval at scale. -
15
Accenture AI Refinery
Accenture
Accenture's AI Refinery is a comprehensive platform designed to help organizations rapidly build and deploy AI agents to enhance their workforce and address industry-specific challenges. The platform offers a collection of industry agent solutions, each codified with business workflows and industry expertise, enabling companies to customize these agents with their own data. This approach reduces the time to build and derive value from AI agents from months or weeks to days. AI Refinery integrates digital twins, robotics, and domain-specific models to optimize manufacturing, logistics, and quality through advanced AI, simulations, and collaboration in Omniverse, enabling autonomy, efficiency, and cost reduction across operations and engineering processes. The platform is built with NVIDIA AI Enterprise software, including NVIDIA NeMo, NVIDIA NIM microservices, and NVIDIA AI Blueprints, such as video search, summarization, and digital human. -
16
NVIDIA DGX Cloud Lepton
NVIDIA
NVIDIA DGX Cloud Lepton is an AI platform that connects developers to a global network of GPU compute across multiple cloud providers through a single platform. It offers a unified experience to discover and utilize GPU resources, along with integrated AI services to streamline the deployment lifecycle across multiple clouds. Developers can start building with instant access to NVIDIA’s accelerated APIs, including serverless endpoints, prebuilt NVIDIA Blueprints, and GPU-backed compute. When it’s time to scale, DGX Cloud Lepton powers seamless customization and deployment across a global network of GPU cloud providers. It enables frictionless deployment across any GPU cloud, allowing AI applications to be deployed across multi-cloud and hybrid environments with minimal operational burden, leveraging integrated services for inference, testing, and training workloads. -
17
NVIDIA CloudXR
NVIDIA Omniverse
Enterprises are integrating augmented reality (AR) and virtual reality (VR) into their workflows to drive design reviews, virtual production, location-based entertainment, and more. NVIDIA CloudXR™, a groundbreaking innovation built on NVIDIA RTX™ technology, delivers VR and AR across 5G and Wi-Fi networks. With NVIDIA RTX Virtual Workstation software, CloudXR is fully scalable for data center and edge networks. The CloudXR SDK comes with an installer for server components and open-source client applications for streaming extended reality (XR) content from OpenVR applications to Android and Windows devices. -
18
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.
-
19
NVIDIA HPC SDK
NVIDIA
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications. -
20
NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly. -
21
NVIDIA AI Enterprise
NVIDIA
The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute. -
22
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. -
23
Juniper Apstra
Juniper Networks
Juniper Apstra intent-based networking software automates and validates the design, deployment, and operation of data center networks from day 0 through day 2+. As the only solution of its kind with multivendor support, Apstra empowers you to automate and manage your networks across virtually any data center design, vendor, and topology, making private data centers as easy as a cloud. Using Apstra’s single source of truth and powerful analytics, you can now deliver optimal network performance and resolve issues with confidence. Apstra also mitigates network outages with predictive insights and provides change control with networkwide rollback capabilities. Juniper Validated Designs (JVDs) help ensure reliable operations and accelerate deployments. Apstra Cloud Services, a suite of AI-native, cloud-based applications for AI operations (AIOps), works with Apstra’s intent-based networking to expand data center assurance solutions from network assurance to application assurance. -
24
Massed Compute
Massed Compute
Massed Compute offers high-performance GPU computing solutions tailored for AI, machine learning, scientific simulations, and data analytics. As an NVIDIA Preferred Partner, it provides access to a comprehensive catalog of enterprise-grade NVIDIA GPUs, including A100, H100, L40, and A6000, ensuring optimal performance for various workloads. Users can choose between bare metal servers for maximum control and performance or on-demand compute instances for flexibility and scalability. Massed Compute's Inventory API allows seamless integration of GPU resources into existing business platforms, enabling provisioning, rebooting, and management of instances with ease. Massed Compute's infrastructure is housed in Tier III data centers, offering consistent uptime, advanced redundancy, and efficient cooling systems. With SOC 2 Type II compliance, the platform ensures high standards of security and data protection.Starting Price: $21.60 per hour -
25
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
26
NVIDIA Morpheus
NVIDIA
NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. Morpheus incorporates AI to reduce the time and cost associated with identifying, capturing, and acting on threats, bringing a new level of security to the data center, cloud, and edge. Morpheus also extends human analysts’ capabilities with generative AI by automating real-time analysis and responses, producing synthetic data to train AI models that identify risks accurately and run what-if scenarios. Morpheus is available as open-source software on GitHub for developers interested in using the latest pre-release features and who want to build from source. Get unlimited usage on all clouds, access to NVIDIA AI experts, and long-term support for production deployments with a purchase of NVIDIA AI Enterprise. -
27
NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
28
NVIDIA virtual GPU
NVIDIA
NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. Deliver performance virtually indistinguishable from a bare metal environment. Leverage common data center management tools such as live migration. Provision GPU resources with fractional or multi-GPU virtual machine (VM) instances. Responsive to changing business requirements and remote teams. -
29
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. -
30
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. -
31
NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
32
NEXTDC
NEXTDC
NEXTDC is an Australian data center operator that provides enterprise-class data center services, offering scalable, secure, and reliable infrastructure for businesses across various industries. As a leader in digital infrastructure solutions, NEXTDC supports the growing demand for cloud and hybrid IT environments, enabling organizations to connect with major cloud platforms, telecommunications networks, and IT service providers. Its facilities are designed to meet stringent security and energy efficiency standards, with a strong focus on sustainability. NEXTDC’s colocation services, coupled with a wide range of connectivity solutions, help businesses optimize their IT infrastructure and digital transformation strategies while ensuring robust data protection and operational resilience. -
33
Voltage Park
Voltage Park
Voltage Park is a next-generation GPU cloud infrastructure provider, offering on-demand and reserved access to NVIDIA HGX H100 GPUs housed in Dell PowerEdge XE9680 servers, each equipped with 1TB of RAM and v52 CPUs. Their six Tier 3+ data centers across the U.S. ensure high availability and reliability, featuring redundant power, cooling, network, fire suppression, and security systems. A state-of-the-art 3200 Gbps InfiniBand network facilitates high-speed communication and low latency between GPUs and workloads. Voltage Park emphasizes uncompromising security and compliance, utilizing Palo Alto firewalls and rigorous protocols, including encryption, access controls, monitoring, disaster recovery planning, penetration testing, and regular audits. With a massive inventory of 24,000 NVIDIA H100 Tensor Core GPUs, Voltage Park enables scalable compute access ranging from 64 to 8,176 GPUs.Starting Price: $1.99 per hour -
34
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. -
35
NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.Starting Price: Free
-
36
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. -
37
NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
38
NVIDIA Llama Nemotron
NVIDIA
NVIDIA Llama Nemotron is a family of advanced language models optimized for reasoning and a diverse set of agentic AI tasks. These models excel in graduate-level scientific reasoning, advanced mathematics, coding, instruction following, and tool calls. Designed for deployment across various platforms, from data centers to PCs, they offer the flexibility to toggle reasoning capabilities on or off, reducing inference costs when deep reasoning isn't required. The Llama Nemotron family includes models tailored for different deployment needs. Built upon Llama models and enhanced by NVIDIA through post-training, these models demonstrate improved accuracy, up to 20% over base models, and optimized inference speeds, achieving up to five times the performance of other leading open reasoning models. This efficiency enables handling more complex reasoning tasks, enhances decision-making capabilities, and reduces operational costs for enterprises. -
39
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. -
40
NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.
-
41
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. -
42
NVIDIA Parabricks
NVIDIA
NVIDIA® Parabricks® is the only GPU-accelerated suite of genomic analysis applications that delivers fast and accurate analysis of genomes and exomes for sequencing centers, clinical teams, genomics researchers, and high-throughput sequencing instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs. From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute time is observed compared to CPU-only systems, allowing up to 107X acceleration. -
43
Adam
Adam
Security, flexibility and proximity in data center services, IaaS and connectivity. We offer you complete and flexible accommodation solutions in our 3 data centers in Barcelona and Madrid. Locate your critical infrastructure in a secure environment. Deploy a secure and scalable infrastructure in the cloud, tailored to your business needs today and tomorrow. With our IaaS solutions you can do it easily. We offer you neutral and secure connectivity solutions with the highest quality, strength and flexibility, thanks to our interconnection with the main network operators in the country. Our experience over three decades and our commitment to the constant training of our team are the best guarantee for your infrastructure. Our facilities are protected against fires and intrusions, to guarantee the maximum availability of your services and the continuity of your business. We have a committed and specialized team, ready to become your hands and eyes in our data centers. -
44
The FNT Command software package provides full transparency into all IT and telecommunications structures for managing IT assets, cabling and infrastructure, data centers, and telecommunications resources. FNT Command thus enables the provision of high-value IT and telecommunications services. Like our customers, we take an integrated approach to all resources, from cabling through to service provision. Budget and cost pressures, capacity bottlenecks, and compliance guidelines are just some of the challenges that data centers face as they seek to deliver efficient and reliable IT services. As a centralized management and optimization solution, FNT Command gives you total transparency across your entire data center infrastructure, from the facility level through hardware and software to networking, power, and air conditioning. This end-to-end view enables you to accelerate day-to-day business processes and achieve greater operational reliability.
-
45
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.
-
46
Cisco Prime Network
Cisco
Cisco Prime Network is a cost-effective device operation, administration, and network fault-management solution. This single solution helps service providers reduce management complexity and deliver carrier-class services. It supports the physical network components as well as the compute infrastructure, and virtual elements found in data centers. Increased operational efficiency through automated network discovery, configuration and change management. Enhanced customer satisfaction through proactive service assurance using postevent fault management and trend information. Lower integration costs through preintegration with Cisco Prime Carrier Management suite and northbound interfaces to third party applications. Detailed end-to-end views of the physical and virtual network topology and inventory. GUI-based device configuration with prebuilt and downloadable scripts. Up-to-date displays of network event, state, and configuration changes. -
47
Frenos
Frenos
Frenos is the world's first autonomous Operational Technology (OT) security assessment platform, designed to proactively assess, prioritize, and defend critical infrastructure without impacting operations. Purpose-built for OT environments, it autonomously evaluates and mitigates risks across all sixteen critical infrastructure sectors. The platform utilizes a digital network twin and an AI reasoning agent to analyze potential adversarial tactics, techniques, and procedures, providing contextual, prioritized remediation guidance specific to OT settings. This approach enables organizations to efficiently reduce risk and enhance security posture. Frenos has established partnerships with industry leaders such as Claroty, Forescout, NVIDIA, Dragos, Palo Alto Networks, Tenable, and Rapid7. Frenos was established to help enterprises safeguard their most valuable crown jewels, from oil rigs and medical devices to electric substations and financial transaction applications. -
48
Symantec Data Center Security
Broadcom
Complete server protection, monitoring, and workload micro-segmentation for private cloud and physical on-premises data center environments. Security hardening and monitoring for private cloud and physical data centers with support for Docker containers. Agentless Docker container protection with full application control and integrated management. Block zero-day exploits with application whitelisting, granular intrusion prevention, and real-time file integrity monitoring (RT-FIM). Secure OpenStack deployments with full hardening of Keystone identity service module. Data center security: monitoring. Continuous security monitoring of private cloud and physical on-premises data center environments. Optimize security performance in VMware environments with agentless antimalware protection, network intrusion prevention, and file reputation services. -
49
Ansys Twin Builder
Ansys
An analytics-driven, simulation-based digital twin is a connected, virtual replica of an in-service physical asset — in the form of an integrated multidomain system simulation —that mirrors the life and experience of the asset. Hybrid digital twins enable system design and optimization and predictive maintenance, and they optimize industrial asset management. By implementing Ansys Twin Builder, you can improve top-line revenue, manage bottom-line costs and both gain and retain a competitive advantage. Ansys Twin Builder enables you to quickly create a digital twin–a connected replica of an in-service asset. This allows for enhanced lifecycle management and true predictive maintenance, saving costs to help maintain a competitive advantage. -
50
Get complete automation, extensive visibility, and consistent operations for your hybrid cloud environment. Cisco Nexus Dashboard Fabric Controller (NDFC) is the network management platform for all NX-OS-enabled deployments. It spans new fabric architectures, storage network deployments, and IP Fabric for Media. Accelerate provisioning from days to minutes and simplify deployments. Reduce troubleshooting cycles with graphical operational visibility for topology, network fabric, and infrastructure. Eliminate configuration errors with templated deployment models and automatic compliance remediation. Benefit from automated network connectivity, consistent network management, and simplified operations for hybrid cloud environments. Gain comprehensive management, control, monitoring, troubleshooting, and maintenance for LAN with automated multicloud connectivity and IP Fabric for Media (IPFM).
