It has been a breakout year for Nvidia, and it’s not because of gaming or Bitcoin mining—2023 has seen the chipmaker not just participating in the AI revolution but driving it forward, with a laundry list of updates and upgrades that continue to set new benchmarks for computing power. Ian Buck, Nvidia Vice President of high-performance computing and hyperscale data center business, invoked this sentiment at the company’s Supercomputing 2023 event today, saying, “Computing stands as the bedrock of modern civilization, fueling scientific discovery, powering industrial automation, and birthing artificial intelligence.” He pointed out that CPU performance grew 10,000 fold over the past 20 years, but that “that trajectory has stagnated” as “incremental gains… bring disproportionate costs and power increases.” Buck framed the day’s announcements as part of “a new computing law.”

Nvidia’s update to its Hopper GPU chips, the Nvidia H200, delivers improved performance but also enables cost and energy efficiency, Buck said, accelerating industrial design and simulation—especially in the realm of data centers. “The Nvidia H200 is the first GPU to offer HBM3e — faster, larger memory to fuel the acceleration of generative AI and large language models, while advancing scientific computing for HPC workloads,” the company declared in an official announcement , its 14GB of memory processing 4.8 terabytes per second, “nearly double the capacity and 2.4x more bandwidth compared with its predecessor.” The Grace Hopper superchips, which merge Nvidia’s Grace and Hopper technology, power supercomputers built by major manufacturers like Dell and HPE. the GH200 is used in research and heavy computation tasks, offering a combined 200 exaflops—one quintillion floating point operations per second—of AI performance.

Nvidia also talked about the development of quantum processing units (QPUs). “As future supercomputers incorporate quantum processors, Nvidia is leading the way with an open programming model called CUDA quantum to facilitate this integration, steering towards the era of quantum accelerated supercomputing,” Buck said. Integrating CUDA quantum into its computing platform has allowed researchers to simulate quantum processors, but Nvidia’s contribution to quantum computing is not just theoretical.

The company’s role as the engine behind numerous AI businesses, coupled with technological advancements such as the Hopper chips and the Nvidia H200, positions it at the forefront of the AI revolution. With the stock market reflecting this growth, and AI in the crosshairs of everyone, NVIDIA is having a big moment. The future, it seems, is not just written in codes but also the silicon of Nvidia’s groundbreaking chips.

Nvidia is driving the AI revolution forward with a laundry list of updates and upgrades, including the Hopper GPU chips, Nvidia H200, and quantum processing units (QPUs). These advancements have enabled cost and energy efficiency, and have enabled the use of AI in businesses such as OpenAI and Stability AI. The stock market is reflecting this growth, with the stock price soaring nearly 200% in 2023. Nvidia is positioned at the forefront of the AI revolution and is showing no signs of slowing down.

#Nvidia #AI #QuantumComputing #Supercomputing #CUDAProgramming

You can read more about this topic here: Decrypt: New Nvidia Supercomputing Chips to ‘Fuel the Acceleration’ of AI

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