As a developer, researcher, or data scientist, you want to bring the power of AI to your work. You could go to IT to get a server, but you want the control and flexibility to be productive, while still using GPUs for deep learning, training and inference. It may seem cost effective to try and…
In part 4 of the #GTC21 spring keynote, NVIDIA CEO Jensen Huang unveils two additions to the NVIDIA DGX lineup. The DGX Station 320G is the ideal AI programming companion for every AI researcher. The new DGX SuperPOD is the world’s first cloud-native supercomputer, and now includes the BlueField-2 DPU among other upgrades. He also…
Learn more at http://nvda.ws/1SF7O5f. NVIDIA CEO Jen-Hsun Huang introduces the NVIDIA DGX-1, the world’s first deep learning supercomputer, at the GPU Technology Conference. Providing 170 teraflops of performance in one box, DGX-1 is over 12x faster than its predecessor from one year ago.
Meet NVIDIA DGX SuperPOD — a commercially available, world-class supercomputer. Designed to tackle the world’s most complex AI challenges, DGX SuperPOD specializes in powering AI applications from speech-to-vision to robotics to autonomous systems. DGX SuperPOD delivers leadership-class performance and scale that can enable your team with insights in minutes instead of weeks or months. Learn…
Marc Hamilton, VP at NVIDIA, shows how you can tap into the power of 400 CPUs with the NVIDIA DGX Station. https://www.nvidia.com/dgx-station
Learn how our customers are using NVIDIA DGX Systems, the world’s first portfolio of purpose-built #deeplearning systems, to accelerate their unique AI deployments. https://nvda.ws/2VEKSwX
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