GridX, Inc.’s Post

The energy world has spent 2024 giddy about the potential technological breakthroughs enabled by artificial intelligence. But accelerated computing, AI’s lesser-known companion, is also likely to dramatically impact how electric utilities operate. “For the first time, you've got technology and compute resources like GPUs that are price-performant for this type of work,” said Marc Spieler, senior managing director of global energy industry at NVIDIA, on a recent episode of the With Great Power podcast.  https://lnkd.in/e_7YQ7kX

The company with the highest growth in the S&P 500 this year is not Nvidia, but Vistra Group, an independent energy company with a year-to-date growth of nearly 200%. Interestingly, four of the top ten gainers are utility power generation companies, which is quite rare. The valuation of the power industry has been boosted due to the demand for AI data centers, leading to a somewhat frenzied market recently. https://lnkd.in/gQyfbrBa

The future is innovative and digital, maybe the role model for Germany.   Colossus is ready, making it the unofficially fastest current supercomputer designed to train only AI models.   100,000 H100 accelerators from Nvidia help to achieve FP64 computing power of 3.4 exaflops, i.e. 3.4 trillion computing operations per second. (FP64 values - floating point operations with double precision). By comparison, Frontier, the current leader of the Top500, achieves a peak FP64 performance of 1.7 exaflops.   However, the energy requirement is also extreme, an H100 requires 700W, the 100,000 H1s would then come to 70MW plus processors, switches and cooling. This will probably exceed 100MW. Good if you can use a lot of renewable energy. https://lnkd.in/drZqmkFS   #computingpower #digitalization #future

Accelerated computing could have a big impact on utility operations — maybe even a bigger impact than artificial intelligence. Accelerated computing is a process that splits an application’s data-intensive parts from everything else, to be processed on a separate piece of hardware known as a hardware accelerator. Graphics processing units, or GPUs, are common accelerators because they can perform multiple tasks simultaneously, instead of one at a time like a central processing unit. It will have a significant impact on managing the power grid because many potential optimizations are currently limited by how compute-intensive they are. Specifically grid optimization. Read more in my latest for Latitude Media👇 Based on the With Great Power episode ft Marc Spieler GridX, Inc. Brad Langley https://lnkd.in/gzdcWNqH

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency

Explore AI's role in energy efficiency with NVIDIA’s Josh Parker. Learn how GPUs and #AI are transforming energy use and aiding climate solutions. #EnergyEfficiency