9 years after gifting Elon Musk the very first DGX AI supercomputer, Nvidia Corp. ( NASDAQ: NVDA) CEO Jensen Huang personally provided the business’s most current development– the DGX Glow, called the “world’s tiniest AI supercomputer”– to Tesla Inc. (NASDAQ: TSLA) CEO at SpaceX’s Starbase center in Texas.
A Full-Circle Minute In Between 2 AI Pioneers
In a video shared by Nvidia, Huang and Musk thought back about the early days of expert system while standing within SpaceX’s rocket factory.
” Is this your workplace?” Huang asked. “This is the rocket factory,” Musk responded.
Huang then quipped, “I simply desire everybody worldwide to hear that you stated I construct larger things than you do.” Musk chuckled, concurring: “You do. The information centers are massive.”
Huang remembered revealing the very first DGX supercomputer in 2016. “It was simply crickets,” he stated, before including, “other than for a single person– and it was you.”
” This is the brand-new DGX Glow,” Huang continued. “5 times the computational power of DGX-1– and it performs at simply 40 watts.” Musk responded, “Wow.”
Huang likewise saw his very first “rocket launch” throughout the see. “It’s simply amazing,” he specified.
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Nvidia’s DGX Glow: A Supercomputer That Fits On a Desk
The DGX Glow, priced at $3,999, provides up to one petaflop of AI efficiency utilizing Nvidia’s GB10 Grace Blackwell Superchip.
It includes 128GB of combined memory, NVLink-C2C connection, and NVMe storage, allowing designers to run AI work in your area.
Huang stated the item brings the exact same objective as the DGX-1– to equalize access to supercomputing.
The DGX Glow formally introduced on Oct. 15. The release comes in the middle of rising worldwide need for AI hardware. Nvidia’s market cap now goes beyond $4.4 trillion and Huang has actually forecasted $500 billion in yearly AI information center costs by 2030.
Nvidia ranks amongst the leading entertainers in Benzinga’s Edge Stock Rankings for Momentum, Development and Quality, showcasing strong cost efficiency throughout brief, medium and long-lasting timeframes. Click on this link for a comprehensive breakdown of its efficiency and contrasts with market peers.
Disclaimer: This material was partly produced with the assistance of AI tools and was evaluated and released by Benzinga editors.
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