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

FROM DEVELOPMENT TO DEPLOYMENT

FROM THE CLOUD ...

Cloud-based GPU solutions enable organizations to access high-density computing resources and high-performance virtual workstations anytime, anywhere, without the need to build a physical data center.

Learn more about GPU cloud computing solutions

TO THE OFFICE ...

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

More information about LAPTOP and WORKSTATION SOLUTIONS

TO THE DATA CENTER ...

GPU-accelerated data centers deliver breakthrough performance for processing and graphics workloads at any scale with fewer servers. The result is faster insights and dramatically lower costs. Confidential data can be stored, processed, and analyzed while maintaining operational security.

More information about LOCAL SOLUTIONS

TO THE PERIPHERAL

AI in the periphery needs a scalable, accelerated platform that can drive real-time decisions and enable all industries to deliver automated intelligence at the point of action - in stores, in manufacturing, in hospitals, and in smart cities.

More information about EDGE-CONPUTING solutions

THE NEXT ERA OF CORPORATE SKI

NVIDIA and VMware are working together to bring AI to every business. To do so, they are now harnessing the power of AI in the hybrid cloud. NVIDIA AI Enterprise is the comprehensive software suite that enables AI on VMware vSphere and delivers near bare-metal performance for virtualized environments.
DISCOVER THE SUITE

DATA ANALYSES

Every day, companies generate and capture unprecedented amounts of data. 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 data center platforms from NVIDIA, organizations can get actionable insights from their data faster than ever before.

KI-Training

Deep learning datasets are growing in size and complexity as workloads such as conversational AI, recommendation services, and computer vision become more prevalent across industries. NVIDIA's data center platform, including hardware and software, significantly accelerates AI training, resulting in highly productive data science teams, significant cost savings, and faster ROI.

KI-Inferenz

Accelerating inference workloads in the data center requires a flexible, elastic infrastructure that can scale out and leverage every bit of available compute resources. With new technologies such as multi-instance GPUs (MIGs), NVIDIA solutions are uniquely positioned to accelerate inference workloads such as image recognition, recommendation systems, and natural language processing, providing the highest throughput and real-time response time required to integrate AI into applications.

VIRTUALIZATION

NVIDIA virtual GPU solutions support modern virtual data centers and deliver scalable graphics-rich virtual desktops and workstations with NVIDIA virtual GPU (vGPU) software . These solutions are capable of running compute-intensive server workloads including AI, deep learning, data science, and HPC on a virtual machine, and also take advantage of improved management and security.

Rendering

Designers and artists across all industries need to create higher quality content faster than ever, but productivity is limited by inefficient CPU-based rendering solutions. The NVIDIA RTX™ Server breaks through the limitations of expensive CPU render farms. It is a highly flexible reference design that can be configured with NVIDIA software and leading third-party software, and accelerates the most complex rendering workloads.

High-Performance Computing

HPC is one of the most important tools driving the advancement of science in the data center. NVIDIA GPUs power the modern HPC data center, optimizing more than 700 applications across a wide range of domains. By delivering breakthrough performance with fewer servers, resulting in faster insights and significantly lower costs, the NVIDIA data center platform paves the way for scientific discovery.

NVIDIA AMPERE ARCHITECTURE

THE HEART OF THE MOST POWERFUL DATA CENTERS

Designed for the age of elastic computing, the NVIDI Ampere architecture delivers unparalleled acceleration at any scale, enabling innovators to do their life's work.
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