Nvidia H100 Chip Unveiled, Touted as ‘Engine’ of AI Infrastructure


Nvidia’s graphic chips (GPU), which initially helped propel and improve the standard of movies within the gaming market, have turn into the dominant chips for corporations to make use of for AI workloads. The newest GPU, referred to as the H100, may also help cut back computing instances from weeks to days for some work involving coaching AI fashions, the corporate stated.

The bulletins have been made at Nvidia’s AI builders convention on-line.

“Data centres are becoming AI factories — processing and refining mountains of data to produce intelligence,” stated Nvidia Chief Govt Officer Jensen Huang in a press release, calling the H100 chip the “engine” of AI infrastructure.

Corporations have been utilizing AI and machine studying for every little thing from making suggestions of the following video to look at to new drug discovery, and the expertise is more and more changing into an necessary device for enterprise.

The H100 chip will likely be produced on Taiwan Manufacturing Semiconductor Company’s leading edge 4 nanometer course of with 80 billion transistors and will likely be obtainable within the third quarter, Nvidia stated.

The H100 may even be used to construct Nvidia’s new “Eos” supercomputer, which Nvidia stated would be the world’s quickest AI system when it begins operation later this 12 months.

Facebook guardian Meta introduced in January that it will construct the world’s quickest AI supercomputer this 12 months and it will carry out at almost 5 exaflops. Nvidia on Tuesday stated its supercomputer will run at over 18 exaflops.

Exaflop efficiency is the power to carry out 1 quintillion — or 1,000,000,000,000,000,000 – calculations per second.

Nvidia additionally launched a brand new processor chip (CPU) referred to as the Grace CPU Superchip that’s based mostly on Arm expertise. It is the primary new chip by Nvidia that makes use of Arm structure to be introduced because the firm’s deal to purchase Arm fell aside final month attributable to regulatory hurdles.

The Grace CPU Superchip, which will likely be obtainable within the first half of subsequent 12 months, connects two CPU chips and can concentrate on AI and different duties that require intensive computing energy.

Extra corporations are connecting chips utilizing expertise that enables quicker information stream between them. Earlier this month Apple unveiled its M1 Extremely chip connecting two M1 Max chips.

Nvidia stated the 2 CPU chips have been linked utilizing its NVLink-C2C expertise, which was additionally unveiled on Tuesday.

Nvidia, which has been creating its self-driving expertise and rising that enterprise, stated it has began transport its autonomous car pc “Drive Orin” this month and that Chinese language electrical car maker BYD and luxurious electrical automotive maker Lucid can be utilizing Nvidia Drive for his or her subsequent era fleets.

Danny Shapiro, Nvidia’s vice chairman for automotive, stated there was $11 billion (roughly Rs. 83,827 crore) value of automotive enterprise within the “pipeline” within the subsequent six years, up from $8 billion (roughly Rs. 60,970 crore) that it forecast final 12 months. The expansion in anticipated income will come from {hardware} and from elevated, recurring income from Nvidia software program, stated Shapiro.

Nvidia shares have been comparatively flat in noon commerce.

© Thomson Reuters 2022




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