MITRE promises a cute little 17-PFLOPS AI super for the rest of Uncle Sam's agencies

Later this year, MITRE is getting its hands on a mini-supercomputer and planning to divvy out AI computing time to US government agencies.

MITRE is a not-for-profit corporation tasked with managing tax-funded research and development for Uncle Sam, though it's perhaps best known among Register readers for overseeing the CVE database of security vulnerabilities.

The organization's so-called upcoming Federal AI Sandbox is basically an Nvidia DGX SuperPOD - a modular supercomputer built from 256 Nv H100 GPUs, with each chip capable of achieving roughly four petaFLOPS of performance at 8-bit precision.

The system - set to be deployed in Ashburn, Virginia - marks a substantial upgrade to MITRE's existing AI infrastructure, boosting its compute resources by two orders of magnitude, the group claims.

But, as supercomputers go, the 32-node system is tiny compared to those operated by the US Department of Energy. For reference, Oak Ridge National Laboratory's Frontier machine is the number one ranked system in the Top500 - at least until the next results drop next week, anyway - and features 37,888 AMD MI250X GPUs. Its peak performance exceeds one exaFLOPS.

With roughly 17 petaFLOPS of peak double precision (FP64) performance - the metric by which supercomputers are usually compared - the DGX SuperPOD MITRE plans to deploy wouldn't even rank in the Top500's 50 most powerful publicly known beasts.

Yet something is better than nothing, and, when it comes to machine learning, MITRE notes most US agencies simply don't have the compute resources necessary to train novel AI models. Well, until now, perhaps.

"The recent executive order on AI encourages federal agencies to reduce barriers for AI adoptions, but agencies often lack the computing environment necessary for experimentation and prototyping," MITRE CTO Charles Clancy explained in a statement, referring to this push by President Biden in October for more trustworthy artificial intelligence.

"Our new Federal AI Sandbox will help level the playing field, making the high-quality compute power needed to train and test custom AI solutions available to any agency."

MITRE argues the machine will provide adequate compute to develop new AI applications, including large language models and multimodal perception systems. The latter, the group contends, would be capable of processing multiple data feeds ranging from images, audio, text, radar, environmental, and medical sensors.

Though the non-profit is well known for its interest in cybersecurity and vulnerability tracking, MITRE plans to open its SuperPOD up to agencies as a secure test bed to run workloads encompassing a wide range of things, including national security, healthcare, transportation, and climate research.

US agencies with existing contracts with any of MITRE's research and development centers will have access to the machine when it comes online at the end of the year. ®

Search
About Us
Website HardCracked provides softwares, patches, cracks and keygens. If you have software or keygens to share, feel free to submit it to us here. Also you may contact us if you have software that needs to be removed from our website. Thanks for use our service!
IT News
May 19
Among AI infrastructure hopefuls, Qualcomm has become an unlikely ally

Analysis The enemy of my enemy is my best friend

May 18
Gentoo and NetBSD ban 'AI' code, but Debian doesn't - yet

Comment The problem isn't just that LLM-bot generated code is bad - it's where it came from

May 18
Reddit goes AI agnostic, signs data training deal with OpenAI

Now Google and OpenAI can slurp up your precious memes and priceless comments

May 17
Graph database shows Biden outspends Trump in social media ad war

But incumbent is mentioned a lot more in attack material

May 17
CoreWeave debt deal with investment firms raises $7.5B for AI datacenter startup

Funds to be used for purchasing servers and networking kit

May 17
Hugging Face to make $10M worth of old Nvidia GPUs freely available to AI devs

You get a GPU, you get a GPU, everyone gets a ZeroGPU!

May 17
Discovering the promise of platform engineering

Webinar And what it can mean for your software development team