The Modern AI Data Center


Learn how IT leaders are scaling and managing their data center to readily adopt NVIDIA AI.

From AI and data analytics to high-performance computing (HPC) to rendering, data centers are key to solving some of the most important challenges. The end-to-end NVIDIA accelerated computing platform, integrated across hardware and software, gives enterprises the blueprint to a robust, secure infrastructure that supports develop-to-deploy implementations across all modern workloads.

The NVIDIA Unified Platform

Reimagine the data center for the age of AI with the NVIDIA accelerated computing platform built on three next-generation architectures for the GPU, DPU, and CPU. With leading-edge technologies that span performance, security, networking, and more, these architectures are ready to take on every challenge of the modern data center.

Architectures for the Modern Data Center

Blackwell GPU Architecture

Blackwell GPU Architecture Blackwell GPU Architecture The NVIDIA Blackwell architecture defines the next chapter in generative AI and accelerated computing with unparalleled performance, efficiency, and scale. Blackwell features six transformative technologies that will help unlock breakthroughs in data processing, electronic design automation, computer-aided engineering, and quantum computing.

Grace CPU Architecture

The NVIDIA Grace™ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence. These data centers run a variety of workloads, from AI training and inference, to HPC, data analytics, digital twins, Cloud Graphics and Gaming, and thousands of hyperscale cloud applications.

BlueField DPU Architecture

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Development to Deployment

GPU Cloud Computing

With cloud-based GPU solutions, enterprises can access high-density computing resources and powerful virtual workstations at any time, from anywhere, with no need to build a physical data center.

AI Workstations for Data Science

From virtual desktops, applications, and workstations to optimized containers in the cloud, data scientists, researchers, and developers can power GPU-accelerated AI and data analytics at their desks.

Data Center Accelerated Computing Solutions

GPU-accelerated data centers deliver breakthrough performance for compute and graphics workloads, at any scale with fewer servers, resulting in faster insights and dramatically lower costs. Sensitive data can be stored, processed, and analyzed while operational security is maintained.

To the Edge

AI at the edge needs a scalable, accelerated platform that can drive decisions in real time and allow every industry to deliver automated intelligence to the point of action—stores, manufacturing, hospitals, smart cities.

For Every Workload

Generate and collect unparalleled volumes of data. Deploy Generative AI to create innovative solutions. Expedite AI inference processes. Enhance applications to drive scientific breakthroughs. Gain insights into the workloads that leverage the efficiency and superior performance of our data center.

Data Science

Accelerate data pipelines end-to-end. Every day businesses are collecting unprecedented amounts of data. This massive amount of information is a missed opportunity for those not using GPU-accelerated analytics. The more data you have, the more you can learn. With the NVIDIA data center platform, businesses can create actionable insights faster than ever before.

Generative AI

Customize and deploy pretrained foundation models. Generative AI capabilities are taking the world by storm. AI can now summarize text, compose images, write code, and more. Enterprise applications need AI that’s customized to focus on their domain, be knowledgeable about their business, and have the skills necessary to accomplish high-value tasks. These models need to scale across business functions and learn as the business grows and evolves. Generative AI models will codify your organization’s intelligence.

AI Inference

Deploy AI models faster, with more accuracy, and fewer servers. Accelerating inference workloads in the data center requires an agile, elastic infrastructure that can scale out and utilize every bit of compute resources available. The latest NVIDIA solutions are uniquely positioned to accelerate inference workloads providing the highest throughput and real-time responsiveness needed to bring AI to applications.

High-Performance Computing

Accelerate scientific breakthroughs with enhanced precision and energy efficiency. HPC is one of the most essential tools fueling the advancement of science in the data center. Optimizing thousands of applications across a broad range of domains, NVIDIA GPUs are the engine of the modern HPC data center. By delivering breakthrough performance with fewer servers resulting in faster insights and dramatically lower costs, the NVIDIA data center platform paves the way to scientific discovery.


Deliver stunningly realistic designs and simulations with unrivaled speed and precision. Designers and artists across industries need to produce higher-quality content faster than ever, but productivity is limited by inefficient CPU-based render solutions. NVIDIA RTX™ Server breaks the confines of costly CPU render farms. A highly flexible reference design that can be configured with NVIDIA software and leading third-party software, it accelerates the most complex rendering workloads.


Simplify management of virtualized data centers. NVIDIA virtual GPU solutions support the modern, virtualized data center, delivering scalable, graphics-rich virtual desktops and workstations with NVIDIA virtual GPU (vGPU) software. Capable of running compute-intensive server workloads, including AI, deep learning, data science, and HPC on a virtual machine, these solutions also leverage the benefits of improved manageability and security.