Notebookcheck
, , , , , ,
search relation.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
 

Nvidia partnering with ARM on exascale supercomputers

Nvidia's CEO Jensen Huang has announced it is making its GPUs compatible with ARM. (Source: Nvidia)
Nvidia's CEO Jensen Huang has announced it is making its GPUs compatible with ARM. (Source: Nvidia)
Nvidia is once again partnering with ARM, however this time around it plans to further its plans to support the rise of exascale computing. The two companies have partnered on Nvidia's Tegra chips and on the custom processor powering the Nintendo Switch, but this time around it is about bringing to bare Nvidia's GPU's for their parallel processing capabilities.
Sanjiv Sathiah,

Working For Notebookcheck

Are you a techie who knows how to write? Then join our Team! English native speakers welcome!

News Writer - Details here

Nvidia has announced that it is making its available to the ARM ecosystem its full stack of AI and High Performance Computing (HPC) software by the end of the year. Its technology is already used to accelerate over 600 HPC applications and AI frameworks and includes the company's CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools. It will mean that Nvidia's code will be compatible across all the major CPU architectures including Intel's x86, IBM's Power and ARM's RISC architectures.

"Supercomputers are the essential instruments of scientific discovery, and achieving exascale supercomputing will dramatically expand the frontier of human knowledge," said Jensen Huang, founder and CEO of Nvidia. "As traditional compute scaling ends, power will limit all supercomputers. The combination of Nvidia's CUDA-accelerated computing and ARM's energy-efficient CPU architecture will give the HPC community a boost to exascale."

What this will enable is makers of supercomputers to tap into ARM's power-efficient chip designs and mate them to Nvidia's high-end GPUs to accelerate their processing power using parallel processing techniques. It's a big deal for Nvidia as the HPC market is expected to be worth $59.65 billion by the end of 2025. If supercomputers being made moving forward all tap into Nvidia's GPUs, it will mean it could corner the supercomputing market for parallel processing power.

, , , , , ,
search relation.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
 
static version load dynamic
Loading Comments
Comment on this article
Sanjiv Sathiah
Sanjiv Sathiah - Senior Tech Writer - 1293 articles published on Notebookcheck since 2017
I have been writing about consumer technology over the past ten years, previously with the former MacNN and Electronista, and now Notebookcheck since 2017. My first computer was an Apple ][c and this sparked a passion for Apple, but also technology in general. In the past decade, I’ve become increasingly platform agnostic and love to get my hands on and explore as much technology as I can get my hand on. Whether it is Windows, Mac, iOS, Android, Linux, Nintendo, Xbox, or PlayStation, each has plenty to offer and has given me great joy exploring them all. I was drawn to writing about tech because I love learning about the latest devices and also sharing whatever insights my experience can bring to the site and its readership.
contact me via: @t3mporarybl1p
Please share our article, every link counts!
> Notebook / Laptop Reviews and News > News > News Archive > Newsarchive 2019 06 > Nvidia partnering with ARM on exascale supercomputers
Sanjiv Sathiah, 2019-06-18 (Update: 2019-06-18)