NVIDIA Data Center GPUs

The Heart of the Modern Data Center

Data Center GPUs for Servers

Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Data Center GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning. NVIDIA’s accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, NVIDIA GPUs deliver the highest performance and user density for virtual desktops, applications, and workstations.

NVIDIA GPU-Accelerated Server Platforms

NVIDIA partners offer a wide array of cutting-edge servers capable of diverse AI, HPC, and accelerated computing workloads. To promote the optimal server for each workload, NVIDIA has introduced GPU-accelerated server platforms, which recommends ideal classes of servers for various Training (HGX-T), Inference (HGX-I), and Supercomputing (SCX) applications.

Platforms align the entire data center server ecosystem and ensure that, when a customer selects a specific server platform that matches their accelerated computing application, they’ll achieve the industry’s best performance.

An Enterprise-Ready Platform for Production AI

NVIDIA AI Enterprise, an end-to-end, secure, cloud-native suite of AI software, accelerates the data science pipeline and streamlines the development and deployment of production AI.

Available in the cloud, data center, and at the edge, NVIDIA AI Enterprise includes enterprise support that enables organizations to solve new challenges while increasing operational efficiency.

Accelerating Data Center Workloads
With NVIDIA Data Center Platform

Accelerate Data Center Workloads with the NVIDIA Tesla Platform


Training increasingly complex models faster is key to improving productivity for data scientists and delivering AI services more quickly. Servers powered by NVIDIA® GPUs use the performance of accelerated computing to cut deep learning training time from months to hours or minutes.


Inference is where a trained neural network really goes to work. As new data points come in such as images, speech, visual and video search, inference is what gives the answers and recommendations at the heart of many AI services. A server with a single GPU can deliver 27X higher inference throughput than a single-socket CPU-only server resulting in dramatic cost savings.

High Performance Computing

HPC data centers need to support the ever-growing computing demands of scientists and researchers while staying within a tight budget. The old approach of deploying lots of commodity compute nodes substantially increases costs without proportionally increasing data center performance.

With over 700 HPC applications accelerated—including all of the top 15 —all HPC customers can now get a dramatic throughput boost for their workloads, while also saving money.

Virtualize Any Workload

The enterprise is transforming. Workflows are evolving and companies are needing to run high-end simulations and visualizations alongside modern business apps for all users and on any device.

With NVIDIA virtual GPU solutions and NVIDIA Data Center GPUs, IT organizations can virtualize graphics and compute, easily allocate resources for any workload, and gain the greatest user density for their VDI investment.

Take a Free Test Drive

The World's Fastest GPU Accelerators for HPC and
Deep Learning.

Where to Buy

Find an NVIDIA Accelerated Computing Partner through our NVIDIA Partner Network (NPN).