NVIDIA CEO and Co-founder Jen-Hsun Huang unveiled a single integrated system with the computing throughput of 250 servers. The NVIDIA DGX-1 is easy to deploy and was created for one purpose: to unlock the powers of AI and bring superhuman capabilities to problems that were once unsolvable.
“Artificial intelligence is the most far-reaching technological advancement in our lifetime”, Jen-Hsun told the audience. “It changes every industry, every company, everything. It will open up markets to benefit everyone. The DGX-1 ”
Over the course of a 2 hour talk, he described the current state of AI, pointing to a wide range of ways it’s being deployed. He noted more than 20 cloud-services giants — from Alibaba to Yelp, and Amazon to Twitter — that generate vast amounts of data in their hyperscale data centers and use NVIDIA GPUs for tasks such as photo processing, speech recognition and photo classification.Underpinning DGX-1 is a revolutionary new processor, the NVIDIA Tesla P100 GPU — the most advanced accelerator ever built, and the first to be based on the company’s 11th generation Pascal architecture (for more on Pascal, see “Inside Pascal: NVIDIA’s Newest Computing Platform“).
“Our goal with these updates: Make more of our capabilities available to more developers. A million-plus developers have already downloaded our CUDA toolkit. And there are more than 400 commercially available GPU-accelerated applications that benefit from our software libraries, as well as hundreds more game titles.”
Jen-Hsun upped the stakes and showed how Iray technology can create interactive, virtual 3D worlds with unparalleled fidelity. “These Iray VR capabilities allow us to create environments that let users strap on a headset and prowl around photorealistic virtual environments — like a building not yet constructed. Continuing our efforts to help build autonomous vehicles with super-human levels of perception, we also introduced an end-to-end mapping platforms for self-driving cars.”
It’s designed to help automakers, map companies and startups rapidly create HD maps and keep them updated, using the compute power of NVIDIA DRIVE PX 2 in the car and NVIDIA Tesla GPUs in the data centre. Maps are a key component for self-driving cars. Automakers will need to equip vehicles with powerful on-board supercomputers capable of processing inputs from multiple sensors to precisely understand their environments. Adding detailed maps to this equation simplifies the problem — by giving the car a better sense of where it is, and what’s coming next.
Jen-Hsun further mentioned, “Of course, you never really know what your technology can do without a little competition. So not only will the ROBORACE Championship — the first global autonomous motor sports competition — be powered by our DRIVE PX 2 AI supercomputer, we’ll also be the first team to enter the championship series.”