The outro from May 21's "As The Amount Of Electricity Required By Data Centers Heads Toward Half Of Current Generating Capacity...." was:
Jensen Huang at Nvidia is very, very aware of the electrical consumption of chips in general and his in particular and I'm curious about his thinking regarding this complete revamp of mental and physical architecture.
Although we don't yet know their thinking on a possible change in chip architecture, here's a piece to bolster the comment on energy usage.
The latest Top500 rankings of the world's fastest supercomputers were released May 13 and we have a post in the queue scheduled for this weekend but first a look at one of the other lists that were released.
From Nvidia's blog, May 21:
In the latest ranking of the world’s most energy-efficient supercomputers, known as the Green500, NVIDIA-powered systems swept the top three spots, and took seven of the top 10.
The strong showing demonstrates how accelerated computing represents the most energy-efficient method for high-performance computing.
The top three systems were all powered by the NVIDIA GH200 Grace Hopper Superchip, showcasing the widespread adoption and efficiency of NVIDIA’s Grace Hopper architecture.
Leading the pack was the JEDI system, at Germany’s Forschungszentrum Jülich, which achieved an impressive 72.73 GFlops per Watt.
More’s coming. The ability to do more work using less power is driving the construction of more Grace Hopper supercomputers around the world.
Accelerating the Green Revolution in Supercomputing
Such achievements underscore NVIDIA’s pivotal role in advancing the global agenda for sustainable high-performance computing over the past decade.Accelerated computing has proven to be the cornerstone of energy efficiency, with the majority of systems on the Green500 list — including 40 of the top 50 — now featuring this advanced technology.
Pioneered by NVIDIA, accelerated computing uses GPUs that optimize throughput — getting a lot done at once — to perform complex computations faster than systems based on CPUs alone.
And the Grace Hopper architecture is proving to be a game-changer by enhancing computational speed and dramatically increasing energy efficiency across multiple platforms.
For example, the GH200 chip embedded within the Grace Hopper systems offers over 1,000x more energy efficiency on mixed precision and AI tasks than previous generations.
Redefining Efficiency in Supercomputing
This capability is crucial for accelerating tasks that address complex scientific challenges, speeding up the work of researchers across various disciplines.NVIDIA’s supercomputing technology excels in traditional benchmarks — and it’s set new standards in energy efficiency.
For instance, the Alps system, at the Swiss National Supercomputing Centre (CSCS), is equipped with NVIDIA Grace Hopper GH200. An optimized subset of the system, dubbed preAlps, placed fifth on the latest Green500. CSCS also submitted the full system to the TOP500 list, recording 270 petaflops on the High-Performance Linpack benchmark, used for solving complex linear equations....
....MUCH MORE
