NVIDIA Data Centre GPUs
Leverage the power of NVDIA® Data Centre GPUs to accelerate hyperscale datacentre and intensive HPC workloads. Now scientists can process extensive datasets faster than ever before, opening up a new world of possibilities for research and development in oil & gas, medical research, facial recognition, artificial intelligence and many more.
Not only do NVIDIA® professional GPUs deliver the fastest means of completing complex simulations available today. They also excel in high user density virtual desktop ecosystems when combined with NVIDIA virtual GPU software.
Designed Specifically For Server Platforms
NVIDIA® Data Centre GPUs are passively cooled designs that integrate perfectly into our high-density rackmount server solutions, enabling users to achieve supercomputer performance levels within a 1U, 2U or 4U footprint. With up to 10x GPU compute cards integrated into a single system, configurations benefiting from NVIDIA’s NVLINK technology and the ability to cluster multiple systems to work together on tasks.
Data scientists, researchers & infrastructure managers will be able to power and accelerate their workflows, whether that be Deep Learning training/inference tasks, virtualising a workforce or needing to crunch large datasets within supercomputing simulation applications.
Accelerate Deep Learning Workflows
There are two key phases to Deep Learning workflows, and each has its requirements to achieve the most efficient computation times that data scientists demand. Training is the first stage, and this highly demanding stage can make full use of multiple NVIDIA® Data Centre GPUs to reduce computation times. With this approach, a neural network is trained in a matter of hours when traditionally it took months to on a CPU.
Once training is complete, inference operations of new data points within a trained neural network enable the solution to generate real-world benefits. Artificial Intelligence (AI) services can now take video, images and speech as inputs and return valid answers or recommendations. This simple yet challenging concept is now a reality and changing the world around us. It is all made possible due to the acceleration NVIDIA® Data Centre GPUs provide.
NEW ERA IN HIGH-PERFORMANCE-COMPUTING (HPC)
HPC workloads have traditionally only been possible by utilising large CPU-based systems clusters within a Data Centre. This approach can be high in costs and, due to its inefficient design, offers diminishing returns in performance as clusters grow in size. Furthermore, due to the high costs associated with this approach, HPC clusters were very limited to only large businesses and institutions that had the resources to implement such a solution.
GPU accelerators such as those designed for Data Centres from NVIDIA® have changed the High-Performance-Computing landscape by opening up the ability to perform HPC simulation and analysis to a much larger audience. A single GPU compute server can achieve what used to require dozens or even hundreds of clustered CPUs at a fraction of the cost. With over 600 High-Performance-Compute (HPC) applications now fully supporting GPU acceleration, the possibilities are ever-growing.
Virtualise Your Workforce
How businesses operate is evolving. People are demanding more flexibility in their working lives, and they shouldn’t be held back by the need to stay in a fixed location because of computing resources. NVIDIA virtual GPU solutions powered by NVIDIA® Data Centre GPUs are the perfect solution to this issue.
NVIDIA virtual GPU (vGPU) software in conjunction with NVIDIA® Data Centre GPUs enable you to create virtualised graphics workstations that run on any device, anywhere. These solutions give IT administrators complete freedom to efficiently allocate resources for any workload, quickly expand their infrastructure to add additional users and obtain the highest user density currently possible from a VDI solution.
NVIDIA® Tesla® GPUs Are Ideal For
Accelerating Datacentre Workloads
Servers powered by the NVIDIA® Tesla® V100 or P100 use the performance of cut deep learning training time from months to hours.
Virtualise Any Workload
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 over 600 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.