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.

Don’t Miss NVIDIA at HPE Discover Barcelona 2023

Tune in to hear NVIDIA VP of Enterprise Computing Manuvir Das speak alongside Hewlett Packard Enterprise President and CEO Antonio Neri at the HPE Discover Barcelona 2023 keynote address.

Catch all the inspiring GTC sessions on-demand.

The Developer Conference for the Era of AI and the Metaverse

Discover the innovators,  thought leaders, and decision makers who are shaping the modern data center with the power of AI, high-performance computing, virtualization, data science, and more.

  • From Development to Scaling in Production: An IT Playbook for Modern Applications

    • Justin Boitano, Vice President, Enterprise and Edge Computing, NVIDIA

    Modern applications in the areas of data analytics, artificial intelligence, and 3D design and simulation are transforming every business and organization. They’re also bringing new challenges to IT teams, who need to run and scale these new workloads while maintaining existing enterprise applications. We'll explore the end-to-end workflow of a modern, data-intensive application and its hardware and software infrastructure requirements—from connecting large datasets to accelerated compute resources, to managing and scaling out cloud-native workloads in the core, to securely deploying newly created applications at the edge, and to deeply observing all activity to detect and resolve anomalies in real time. In this age of greater complexity, you'll learn new ways to run, manage, scale, and secure modern workloads on familiar infrastructure, alongside already-thriving applications.

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  • Deep Dive into What's New in the NVIDIA AI Enterprise Software Suite

    • Emily Apsey, Manager, Technical Marketing, NVIDIA
    • Anne Hecht, Senior Director of Product Marketing, Enterprise Products, NVIDIA

    By 2024, it’s expected that 60 percent of the Global 2000 will use AI across all business-critical functions, according to recent research from IDC. However, implementing AI isn’t easy. In fact, according to Gartner, almost half of AI projects never make it to production. The NVIDIA AI Enterprise software suite helps organizations to successfully deploy AI in the enterprise data center and public cloud. Join our technical deep dive to learn how to develop, scale, and manage AI workloads. We’ll talk about the latest enhancements, including news with key NVIDIA partners, and share how customers are using it to accelerate their AI journey.

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  • The Never-Ending Evolution of Computing

    • Michael Kagan, CTO, NVIDIA

    NVIDIA CTO Michael Kagan reviews the ongoing changes and latest breakthroughs in the way cloud computing is architected, connected, optimized, and managed. Join this session to learn why the evolution of computing will never stand still and why the only constant in computing will be continued changes to how it’s done. Accelerated computing enabled the AI revolution that propels demand for data-driven services. These new services drive innovation in algorithms, chips, networking, software, power efficiency, thermal management, and devices—both in data centers and at the edge—and all are connected through clouds. The driver of all this innovation may appear to be the latest smartphones, the newest apps, and the race to develop new pharmaceuticals and autonomous vehicles. This is the never-ending evolution of computing. There’s a constant shift in where computing is performed and how it’s distributed and managed. There’s pressure every day to make computing faster, easier, more efficient, and more secure. This all requires top-to-bottom optimization of chip silicon, interconnects, system design, data center design, power at different levels, thermal management, software, and algorithms.

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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.

Accelerated Computing Solutions

Architectures for the Modern Data Center

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 HPC, data analytics, digital twins, Cloud Graphics and Gaming, and thousands of hyperscale cloud applications.

BlueField DPU Architecture

BlueField DPU Architecture

The NVIDIA BlueField® architecture is transforming traditional computing environments into efficient, high-performance, secure, and sustainable data centers for the next wave of applications. By offloading, accelerating, and isolating a broad range of software-defined networking, storage, and security services, BlueField DPUs create a powerful infrastructure suitable for any workload, in any environment, from cloud to edge.

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.

Start Your Enterprise Journey With NVIDIA LaunchPad

Get access to NVIDIA enterprise solutions with free hands-on 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).