Laboratorium MIT Lincoln prezentuje TX-GAIN: najpotężniejszy superkomputer AI w USA.

TX-Generative AI Next (TX-GAIN), Nowy dodatek do Lincoln Laboratory Supercomputing Center (LLSC) zrobił prawdziwą furorę w świecie technologii, stając się najpotężniejszym superkomputerem AI na jakimkolwiek amerykańskim uniwersytecie. Wraz z jego uznaniem przez TOP500 list, TX-GAIN is a shining new star in a constellation of elite computing systems, powering revolutionary research at MIT’s Lincoln Laboratory and the wider MIT community.

Przełomowa potęga innowacji

TX-GAIN to coś więcej niż tylko technologia przetwarzania danych. Według Jeremy Kepner, Lincoln Laboratory Fellow and the head honcho of LLSC, “TX-GAIN will enable our researchers to achieve scientific and engineering breakthroughs.” True to his words, TX-GAIN ushers in a new era, boosting generative AI, physical simulations and data analysis across all research areas. As a testament to its might, countless researchers are relying on LLSC for federally funded projects, ranging from simulating billions of aircraft encounters for the FAA to training AI for autonomous navigation for the Department of Defense. The center — truly a hub of innovation — is enhancing airline safety, tracking disease outbreaks and even improving disaster response strategies.

Ponowne wyobrażenie sobie mocy sztucznej inteligencji

What sets TX-GAIN apart is the fact that it’s custom-built for generative AI, a novel branch of artificial intelligence that doesn’t just classify data but creates entirely new content. With generative AI, Kepner explains, new images, texts, or simulations can be synthesized based on learned patterns, thereby pushing the limits of innovation. Researchers at the Lincoln Laboratory are taking full advantage of this, deploying generative AI to model radar signatures, enhance incomplete weather datasets, and even detect network anomalies. What’s more, they’re using it to explore molecular interactions to fast-track discoveries in medicine and new materials.

Engineered with over 600 NVIDIA GPU accelerators fine-tuned for AI workloads, TX-GAIN is suited for high-intensity tasks. When coupled with traditional high-performance computing hardware, the system reaches an astounding peak of two AI exaflops – equivalent to two quintillion operations per second. But it’s not just about raw power; TX-GAIN is designed with accessibility in mind. Simplifying supercomputing has always been a priority at LLSC, hence tools have been developed that make working with TX-GAIN as easy as using a regular laptop. Kepner says, “The amount of data and sophistication of analysis methods needed today are well beyond what can be done on a laptop. But with our user-friendly approach, people can run their model and get answers quickly from their workspace.”

Rzeczywiście, TX-GAIN stał się kamieniem węgielnym współpracy w ramach MIT. Do tej pory wspierał projekty z Obserwatorium Haystack, Centrum Inżynierii Kwantowej, Beaver Works, i Akcelerator AI Departamentu Sił Powietrznych i MIT. Jedna z niezwykle owocnych współpracy usprawniła planowanie lotów dla Sił Powietrznych Stanów Zjednoczonych i Sił Kosmicznych.

Mieszcząc się w energooszczędnym obiekcie w Holyoke w stanie Massachusetts, LLSC wysoko stawia poprzeczkę w zakresie zrównoważonego rozwoju. Naukowcy opracowali narzędzia do redukcji mocy które mogą zmniejszyć zużycie energii nawet o 80% when training AI models. “The LLSC provides the capabilities needed to do leading-edge research, while in a cost-effective and energy-efficient manner,” Kepner affirms.

Dziedzictwo trwa

“TX” in TX-GAIN isn’t just an acronym; it’s an homage to Lincoln Laboratory’s computing heritage, dating back to the Transistorized Experimental Computer Zero (TX-0) in 1956. Early AI and human-computer interaction owe much to its successor, TX-2. Now with TX-GAIN, LLSC continues this legacy, charting new territories in the realms of artificial intelligence and supercomputing.