NVIDIA announced a new lineup of DGX AI supercomputers to advance the world’s most challenging AI research. Featuring NVIDIA Tesla V100 data center GPUs based on the NVIDIA Volta architecture and a fully optimized AI software package, the systems deliver, according to NVIDIA, AI computing power three times faster than the prior DGX generation, providing the performance of up to 800 CPUs in a single system.
The ne systems benefit from the integrated NVIDIA GPU Cloud Deep Learning Stack delivered over the newly launched NVIDIA GPU Cloud. „NVIDIA’s DGX portfolio and its software are the essential instruments for advancing the work of serious AI research and realizing the promise of this new era of computing,“ said Jim McHugh, general manager of DGX Computing at NVIDIA. „No other computing system comes close to providing the same level of performance for AI and advanced analytics.“ The NVIDIA GPU Cloud Deep Learning Stack integrates the latest deep learning frameworks and the NVIDIA software development kit into an always up-to-date container. DGX customers can power up and immediately get started with the latest deep learning software for training, inferencing and other AI computing workloads — saving weeks of time and hundreds of thousands of dollars in integration and engineering effort.
Using one consistent software stack across the portfolio, data scientists can easily experiment deskside on their personal DGX Station and then seamlessly scale their work to a DGX-1 server cluster. Introduced last year, DGX-1 systems now power a wide range of AI deployments at leading enterprises, cloud service providers and research organizations worldwide. The new Volta-based DGX-1 supercomputer delivers the computing capacity of 800 CPUs in a single, small server footprint. Greater Deep Learning Performance in a Personal Supercomputer The new NVIDIA DGX Station is the world’s first personal supercomputer for AI development, with the computing capacity of 400 CPUs, consuming nearly 40x less power, in a form factor that fits neatly deskside.
Engineered for peak performance and deskside comfort, the DGX Station is the world’s quietest workstation, drawing one-tenth the noise as other deep learning workstations. Data scientists can use it for compute-intensive AI exploration, including training deep neural networks, inferencing and advanced analytics. One Platform for Deep Learning Training and Inference NVIDIA designed its portfolio of DGX systems to deliver extreme versatility with an architecture capable of powering both deep learning training and inference. DGX-1 and DGX Station can run several jobs simultaneously with flexible allocation of GPU resources, allowing organizations to meet the demands of challenging deep learning projects, including both training and inferencing. DGX systems ensure a team of data scientists can continuously experiment and gain insights with optimal performance.