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My first graphics card with an Nvidia (NVDA) chip was Elsa Erazor III, powered by Riva TNT 2, again in 1999. If you’ll, God or the universe has a particular humorousness.
Since then, the corporate’s roots in making graphics playing cards for gaming—or, as I think most individuals would see it, losing time—have allowed it to morph into the spine of synthetic intelligence and scientific computing. (After all, gaming wasn’t a waste of time for me. I’ve discovered quite a bit and have become an “IT” man due to it.)
Gaming continues to be a giant enterprise for Nvidia, however it’s not practically as essential to the corporate because it was previously.
In its Q1 fiscal 2026 earnings launch, Nvidia reported gaming income of a file $3.8 billion, up 48% from the earlier quarter and 42% from a 12 months in the past. Nonetheless, that’s lower than 9% of the corporate’s complete income of $44.1 billion.
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Nvidia grew out of gaming, for the higher, identical to me. I doubt the corporate’s all finished rising.
The corporate not too long ago announced it’s constructing a supercomputer in partnership with Dell for NERSC, a U.S. Division of Vitality person facility. It additionally addressed key points traders had concerning China restrictions, provide chain capabilities, and the AI laws.
Nvidia’s founder and CEO Jensen Huang, is at all times searching for new enterprise alternatives, and plenty of of them are outdoors America.
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Nvidia opens London Tech Week with massive information
NVIDIA, announced on June ninth on its weblog, that Huang joined the U.Okay. Prime Minister Sir Keir Starmer to open London Tech Week.
“I make this prediction – due to AI, each business within the UK will probably be a tech business. The U.Okay. has one of many richest AI communities of anyplace on the planet, the deepest thinkers, the very best universities, and the third largest AI capital funding of anyplace on the planet,” stated Huang.
“So the flexibility to construct these AI supercomputers right here within the U.Okay. will naturally entice extra startups, it can naturally allow the wealthy ecosystem of researchers right here to do their life’s work,”
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Huang additionally revealed that Nvidia will begin an AI lab within the UK.
The U.Okay. will make investments roughly £1 billion in AI analysis compute by 2030, with investments commencing this 12 months, wrote Nvidia on its weblog.
In December 2024, Hewlett-Packard Enterprise introduced that it’s constructing a liquid-cooled supercomputer at Germany’s Leibniz Supercomputing Centre, LRZ, nevertheless it did not reveal which Nvidia chips will energy the “Blue Lion.”
Extra Nvidia:
- Analysts issue rare warning on Nvidia stock before key earnings
- Analysts double price target of new AI stock backed by Nvidia
- Nvidia CEO shares blunt message on China chip sales ban
Nvidia’s weblog confirmed on June tenth that Vera Rubin will energy the Blue Lion. The superchip combines the Rubin GPU and Vera CPU. Vera CPU is Nvidia’s first customized CPU, constructed to work in lockstep with the GPU.
Vera Rubin’s launch is about for the second half of 2026.
Nvidia powers Europe’s first exascale supercomputer
Nvidia additionally introduced that the Jupiter supercomputer, powered by the corporate’s Grace Hopper platform, is the quickest in Europe. In contrast with the next-fastest system, it’s greater than two instances sooner for high-performance computing and AI workloads.
This beast of a supercomputer is hosted by the Jülich Supercomputing Centre on the Forschungszentrum Jülich facility in Germany and is owned by the EuroHPC Joint Enterprise.
Huang acknowledged, “AI will supercharge scientific discovery and industrial innovation. In partnership with Jülich and Eviden, we’re constructing Europe’s most superior AI supercomputer to allow the main researchers, industries and establishments to develop human data, speed up breakthroughs and drive nationwide development.”
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Jupiter will quickly be able to operating 1 quintillion double-precision floating-point operations per second, which can make it Europe’s first exascale supercomputer.
Its velocity is important for simulations, coaching, and inference of the biggest AI fashions, local weather modeling, quantum analysis, structural biology, computational engineering, and astrophysics. It’s also very environment friendly, at 60 gigaflops per watt.
“Jupiter will considerably advance quantum algorithm and {hardware} growth. Hybrid quantum HPC-computation will revenue from highly effective instruments such because the NVIDIA CUDA-Q platform and the NVIDIA cuQuantum software program growth package.” acknowledged Kristel Michielsen, codirector of the Jülich Supercomputing Centre.
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