AI that will be able to predict the weather 3,000 times faster than a supercomputer and a program that turns a text prompt into a virtual movie set. These are just two of the applications for AI-powered by Nvidia’s technology.
Jensen Huang leads Nvidia – a tech company with a skyrocketing stock and the most advanced technology for artificial intelligence.
Not many devices in the datacenter have been etched with the Intel 4 process, which is the chip maker’s spin on 7 nanometer extreme ultraviolet immersion lithography. But Intel’s Loihi 2 neuromorphic processor is one of them, and Sandia National Laboratories is firing up a supercomputer with 1,152 of them interlinked to create what Intel is calling the largest neuromorphic system every assembled.
With Nvidia’s top-end “Blackwell” GPU accelerators now pushing up to 1,200 watts in their peak configurations, and require liquid cooling, and other accelerators no doubt following as their sockets get inevitably bigger as Moore’s Law scaling for chip making slows, this is a good time to take a step back and see what can be done with a reasonably scaled neuromorphic system, which not only has circuits which act more like real neurons used in real brains and also burn orders of magnitude less power than the XPUs commonly used in the datacenter for all kinds of compute.
First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen “to advance AI, computing, and humanity”: v/ @gdb.
First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen “to advance AI, computing, and humanity”: pic.twitter.com/rEJu7OTNGT
— Greg Brockman (@gdb) April 24, 2024
Massive memory supercomputing for emerging #AI.
An intricate simulation performed by UT Southwestern Medical Center researchers using one of the world’s most powerful supercomputers sheds new light on how proteins called SNAREs cause biological membranes to fuse.
Their findings, reported in the Proceedings of the National Academy of Sciences, suggest a new mechanism for this ubiquitous process and could eventually lead to new treatments for conditions in which membrane fusion is thought to go awry.
“Biology textbooks say that SNAREs bring membranes together to cause fusion, and many people were happy with that explanation. But not me, because membranes brought into contact normally do not fuse. Our simulation goes deeper to show how this important process takes place,” said study leader Jose Rizo-Rey (“Josep Rizo”), Ph.D., Professor of Biophysics, Biochemistry, and Pharmacology at UT Southwestern.
In this radical view, the universe is a giant supercomputer processing particles as bits.
NVIDIA is all set to aid Japan in building the nation’s hybrid quantum supercomputer, fueled by the immense power of its HPC & AI GPUs.
Japan To Rapidly Progressing In Quantum and AI Computing Segments Through Large-Scale Developments With The Help of NVIDIA’s AI & HPC Infrastructure
Nikkei Asia reports that the National Institute of Advanced Industrial and Technology (AIST), Japan, is building a quantum supercomputer to excel in this particular segment for prospects. The new project is called ABCI-Q & will be entirely powered by NVIDIA’s accelerated & quantum computing platforms, hinting towards high-performance and efficiency results out of the system. The Japanese supercomputer will be built in collaboration with Fujitsu as well.
Tesla’s Dojo supercomputer represents a significant investment and commitment to innovation in the field of AI computation, positioning Tesla as a key player in shaping the future of neural net hardware.
Questions to inspire discussion.
What is Tesla’s Dojo supercomputer?
—Tesla’s Dojo supercomputer is an innovative approach to training neural networks, potentially surpassing Nvidia in AI computation.
