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The Modern
AI Data Center
Learn how IT leaders are scaling and managing their data center to readily adopt NVIDIA AI.
The Modern
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
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
Development to Deployment
From the Cloud…
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.
To the Office…
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.
To the Data Center…
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.