The NVIDIA® Data Center GPUs give modern data centers the power to accelerate deep learning, machine learning, virtualization, and high-performance computing (HPC) workloads.
NVIDIA Data Center GPUs
NVIDIA Data Center GPUs
The NVIDIA Data Center GPUs can handle a broad array of accelerated workloads that require the use of diverse classes of servers for optimal performance. The accelerated computing platform for data centers can meet the high demands of AI training, inference, supercomputing, virtual desktop infrastructure (VDI) applications and more.
NVIDIA GPU-accelerated server platforms align the entire data center server ecosystem. When you select a specific server platform that matches an accelerated computing application, the technology will help you achieve the best performance by recommending the optimal mix of GPUs, CPUs, and interconnects for diverse Training (HGX-T), Inference (HGX-1) and Supercomputing (SCX) applications.
The NVIDIA EGX Enterprise Platform
As an NVIDIA partner, we offer a wide array of cutting-edge NVIDIA GPU servers capable of diverse AI, HPC and accelerated computing workloads for enterprise IT. The NVIDIA EGX platform delivers IT infrastructure compatible with major DevOps tools and supports deployment with leading infrastructure vendors. Moreover, the platform allows traditional and modern data-intensive applications to run side-by-side on the same infrastructure--in a data center or at the edge-- without compromising performance or security.
NVIDIA Data Center GPUs Accelerate Workload and Optimize Performance
AI Model Training
The ability to train increasingly complex AI models rapidly is key to improving productivity for data scientists and accelerating the delivery of AI services. NVIDIA GPU servers, along with its deep learning technology and complete solution stack, use accelerated computing to reduce deep learning training time from months to hours or minutes. You can generate deeper insights in less time, reduce cost and achieve faster time to ROI.
Deep Learning Inference
Inference is at the heart of many AI services. A trained neural model takes in new data points from images, speech, visual and video search, etc., to offer answers and recommendations while meeting increasingly tight latency requirements. A single NVIDIA GPU server can deliver 27X higher inference throughput than a single-socket CPU-only server. You can handle growing datasets and increasingly complex networks to achieve the performance, cost-efficiency and responsiveness you need to power the next generation of AI products and services.
High-Performance Computing (HPC)
NVIDIA GPUs are the engine of the modern HPC data center. You can achieve breakthrough performance with fewer servers for faster insights and lower costs to support ever-growing computing demands. NVIDIA GPU servers accelerate over 700 HPC applications, including all of the top 15 and every major deep learning framework, to give you a dramatic throughput boost for your workloads.
Virtualize Any Workload
NVIDIA virtual GPU (vGPU) solutions bring the power of NVIDIA GPUs to virtual desktops, apps and workstations. You can run high-end simulations and visualizations alongside any modern business app on any device. These solutions accelerate graphics and compute while making virtualized workspaces accessible to employees working from anywhere--maximizing user density for your VDI investment.