Solutions for the 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.

What are the Solutions?

Hopper GPU Architecture

Hopper GPU Architecture

The NVIDIA Hopper architecture is powering the next generation of accelerated computing with unprecedented performance, scalability, and security for every data center. With the ability to securely scale diverse workloads—from small enterprise to exascale HPC and trillion-parameter AI—Hopper enables brilliant innovators to fulfill their life's work at the fastest pace in human history.

Grace CPU Architecture

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 high-performance computing (HPC), to data analytics, Digital Twins, Cloud Graphics and Gaming and thousands of hyperscale cloud applications.

See the Data Center Orchestrated to Perfection


See the modern data center, orchestrated to perfection by the NVIDIA accelerated computing platform—and brought to life in NVIDIA Omniverse.

Development to Deployment

Cloud Based GPU Solutions

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.

GPU Accelerated AI & Data Analytics

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.

GPU Accelerated Data Centres Deliver High Performance for Compute & Graphics Workloads

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.

AI at the Edge Platform to Drive Decisions in Real-Time

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.

Fast-Track Your AI Journey with NVIDIA LaunchPad

Get immediate access to NVIDIA AI with free curated labs—from AI-powered chatbots with NVIDIA Triton Inference Server, to image classification with TensorFlow, and more.

The Secure Accelerated Data Center of the Future

NVIDIA CTO Michael Kagan shares how combining GPUs, CPU, and DPU in the modern data center will transform computing.

NVIDIA Ampere Architecture

The heart of the world’s highest-performing data centers.

Designed for the age of elastic computing, the NVIDIA Ampere architecture delivers unmatched acceleration at every scale, enabling innovators to do their life’s work.

For Every Workload

  • Analytics
  • Training
  • Inference
  • High-Performance Computing
  • Rendering
  • Virtualization
NVIDIA GPU Accelerated Analytics

Data Analytics

Every day, businesses are generating and collecting unprecedented amounts of data, and this massive amount of information represents 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 derive actionable insights from their data faster than ever before.

NVIDIA Data Center Platform

AI Training

Deep learning datasets are becoming larger and more complex, with workloads like conversational AI, recommender systems, and computer vision becoming increasingly prevalent across industries. The NVIDIA data center platform, including hardware and software, significantly accelerates AI training, resulting in highly productive data science teams, significant cost savings, and faster time to ROI.

NVIDIA Multi-Instance GPU(MIG)

AI Inference

Accelerating inference workloads in the data center requires an agile, elastic infrastructure that can scale out and utilize every bit of compute resources available. With new technologies like Multi-Instance GPU (MIG), NVIDIA solutions are uniquely positioned to accelerate inference workloads like image recognition, recommender systems and natural language processing, providing the highest throughput and real-time responsiveness needed to bring AI to applications..

High-Performance Computing Data Center

High-Performance Computing

HPC is one of the most essential tools fueling the advancement of science in the data center. Optimizing over 700 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.



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.

NVIDIA Virtual GPU Solutions for Graphics-Rich Virtual Desktops & Workstations


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.


NVIDIA Deep Learning Institute Explores AI, GPU Computing

Get Started in AI with the Deep Learning Institute

Designed for enterprise IT professionals, this online, self-paced course from the NVIDIA Deep Learning Institute (DLI) explores AI, GPU computing, NVIDIA AI software architecture, and how to implement and scale AI workloads in the data center.

AI Platforms to Solve Business Challenges

Implementing AI Solutions for Every Industry

Learn how different industries have integrated powerful AI platforms into their existing workflows  to solve business challenges and improve their return on investment in this ebook.

Data Center Infrastructure With High-Performing Enterprise-Grade Software

Accelerate with GPU-Optimized Software

To stay competitive, industry leaders need to derive actionable insights from their data quickly. But as datasets grow larger and computationally intensive workloads such as  conversational AI and computer vision become more common, to gain those insights, businesses need to back their data center infrastructure with high-performing, enterprise-grade software.

Accelerate Your Workload

Test drive the world’s fastest GPU accelerator
or an NVIDIA DGX system today.

Where to Buy

Find an NVIDIA accelerated computing partner through our NVIDIA Partner Network (NPN).