Nvidia's latest project may supercharge quantum computing

My first graphics card with an Nvidia (NVDA) chip changed into Elsa Erazor III, powered by Riva TNT 2, relieve in 1999. If you can, God or the universe has a clear sense of humor.

Since then, the company's roots in making graphics playing cards for gaming—or, as I believe most folk would look it, losing time—include allowed it to morph into the backbone of synthetic intelligence and scientific computing. (Of direction, gaming wasn't a raze of time for me. I've learned a lot and grew to changed into an "IT" guy as a end result of it.)

Gaming is serene a enormous industry for Nvidia, nevertheless it's not almost about as valuable to the company because it changed into within the previous.

In its Q1 fiscal 2026 earnings free up, Nvidia reported gaming income of a story $3.8 billion, up forty eight% from the outdated quarter and 42% from a twelve months ago. On the opposite hand, that is lower than 9% of the company's total income of $44.1 billion.

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Nvidia grew out of gaming, for the upper, good relish me. I doubt the company's all done increasing.

The company now not too long ago offered it's miles constructing a supercomputer in partnership with Dell for NERSC, a U.S. Division of Vitality person facility. It also addressed key components investors had concerning China restrictions, present chain capabilities, and the AI laws.

Nvidia's founder and CEO Jensen Huang, is always buying for imprint new industry alternatives, and rather just a few them are outside The usa.

Nvidia opens London Tech Week with big files

NVIDIA, offered on June Ninth on its blog, that Huang joined the U.K. High Minister Sir Keir Starmer to start out London Tech Week.

“I originate this prediction – as a end result of AI, every industry within the UK will seemingly be a tech industry. The U.K. has one of many richest AI communities of wherever on the planet, the deepest thinkers, the categorical universities, and the third largest AI capital funding of wherever on this planet,” said Huang.

“So the potential to carry out these AI supercomputers here within the U.K. will naturally entice more startups, it would naturally enable the filthy rich ecosystem of researchers here to attain their lifestyles’s work,”

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Huang also published that Nvidia will start up an AI lab within the UK.

The U.K. will make investments approximately £1 billion in AI learn compute by 2030, with investments taking off this twelve months, wrote Nvidia on its blog.

In December 2024, Hewlett-Packard Enterprise offered that it's miles constructing a liquid-cooled supercomputer at Germany’s Leibniz Supercomputing Centre, LRZ, nevertheless it didn't sign which Nvidia chips will energy the "Blue Lion."

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Nvidia's blog 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 custom CPU, built to work in lockstep with the GPU.

Vera Rubin's start is decided for the second half of 2026.

Nvidia powers Europe's first exascale supercomputer

Nvidia also offered that the Jupiter supercomputer, powered by the company's Grace Hopper platform, is the quickest in Europe. In comparison with the subsequent-quickest system, it's miles bigger than twice sooner for excessive-efficiency computing and AI workloads.

This beast of a supercomputer is hosted by the Jülich Supercomputing Centre at 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 developed AI supercomputer to enable the main researchers, industries and institutions to enlarge human files, rush breakthroughs and force national constructing.”

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Jupiter will quickly be in a position to working 1 quintillion double-precision floating-point operations per second, which is prepared to originate it Europe’s first exascale supercomputer.

Its bustle is valuable for simulations, coaching, and inference of the largest AI gadgets, native climate modeling, quantum learn, structural biology, computational engineering, and astrophysics. It is normally very atmosphere friendly, at 60 gigaflops per watt.

“Jupiter will substantially come quantum algorithm and hardware constructing. Hybrid quantum HPC-computation will profit from highly effective tools such because the NVIDIA CUDA-Q platform and the NVIDIA cuQuantum tool constructing kit.” acknowledged Kristel Michielsen, codirector of the Jülich Supercomputing Centre.

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