GPU giant contends that a little fuzzy math can speed up fluid dynamics, drug discovery
Nvidia on Monday unveiled several new tools and frameworks for augmenting real-time fluid dynamics simulations, computational chemistry, weather forecasting, and drug development with everyone's favorite buzzword: AI.
In the case of computational chemistry, Nvidia says it was able to calculate 16 million structures 100x faster using its AI-accelerated Alchemi containers or NIMs compared to running the workload on GPUs without AI acceleration.NIMs at length in the past, but in a nutshell, Nvidia inference microservices are container images with all the frameworks, libraries, and dependencies necessary to achieve a desired goal.
"Altair, Cadence, Siemens, and others are exploring how to integrate these blueprints into their own services and products for design acceleration," Harris said. This has put Nvidia at a bit of a disadvantage to AMD, which not only makes CPUs for the stubbornest of HPC apps that refuse to transition, but its GPUs and APUs promise significantly higher performance. Theis arguably the most comparable part to Nvidia's Blackwell generation, with 81 teraFLOPS vector and 163 teraFLOPS matrix performance at double precision.
This is by no means a new course for Nvidia. The company's contributions to the HPC community following the debut ofBreaking into the HPC space at a time when it was dominated by CPU-based architectures required building new frameworks and adapting software to run on GPUs.Datacenters line up for 750MW of Oklo's nuclear-waste-powered small reactors
United Kingdom Latest News, United Kingdom Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
LLNL looks to make HPC a little cloudier with Oxide's rackscale compute platformSystem to serve as a proof of concept for applying API-driven automation to scientific computing
Read more »
Fujitsu delivers GPU optimization tech it touts as a server-saverMiddleware aimed at softening the shortage of AI accelerators
Read more »
No-Nvidias networking club convenes in search of open GPU interconnectUltra Accelerator Link consortium promises 200 gigabits per second per lane spec will debut in Q1 2025
Read more »
Intel's former CEO pushed for the chip maker to buy Nvidia for $20 billion in 2005—the GPU company is now worth $3.5 trillionAndy built his first gaming PC at the tender age of 12, when IDE cables were a thing and high resolution wasn't. After spending over 15 years in the production industry overseeing a variety of live and recorded projects, he started writing his own PC hardware blog in the hope that people might send him things.
Read more »
Nvidia-Backed Ubitus Seeks Nuclear-Powered Data Centers in JapanTech companies are increasingly turning to nuclear energy to power data centers as the AI boom accelerates, despite its controversial nature.
Read more »
Hugging Face puts the squeeze on Nvidia's software ambitionsAI model repo promises lower costs, broader compatibility for NIMs competitor
Read more »