Page 3 - Wafer Scale Engine News Today

Developers can now write models in PyTorch or TensorFlow and run them on the Cerebras CS-2 without any changes.

Cerebras Systems, pioneer of wafer-scale computing for AI and HPC, today announced that TotalEnergies (formerly “Total”) has deployed the Cerebras CS-2

Computational biology—particularly via combined HPC and AI—has taken the spotlight during the pandemic as pharmaceutical companies and research institutes

Decoding the replication mechanisms of the SARS-CoV-2 virus has been a key research quest as the COVID-19 pandemic continues. For the scientific computing

DUBAI, United Arab Emirates, Nov. 22, 2021 -- Cerebras Systems, a pioneer in accelerating artificial intelligence (AI) compute, and G42, a leading

SUNNYVALE, CALIF. – November 16, 2021 – Cerebras Systems, whose mission is to accelerate artificial intelligence (AI) compute, today announced at SC21 a [...]

The 2nd Competitive Landscape report is LIVE, and so is the AI Hardware market!

Plus: Enormo AI chip gets an upgrade, and more Katyanna Quach Sat 24 Apr 2021 // 02:26 UTC Share Copy In brief Banks in America are reportedly rolling out cameras with machine-learning software to surveil people, claiming it’ll help reduce fraud, provide a better service to reduce wait times, and monitor homeless people sleeping near ATMs. Top names like JP Morgan to Wells Fargo are deploying facial-recognition technology to observe staff and customers on a wide scale,...

  At Hot Chips in August 2020, Cerebras started to tease a second gen WSE, which would be fabricated by TSMC on its 7nm process. The revamped full wafer chip would pack 2.6 trillion transistors for 850,000 AI optimised cores the chip designers teased. Now the 7nm-based WSE-2 has been fully unveiled. The WSE-2 will be the power behind the Cerebras CS-2, "the industry’s fastest AI computer, designed and optimized for 7nm and beyond". According to Cerebras the new AI computer will be more than ...

The last few years has seen a glut of processors enter the market with the sole purpose of accelerating artificial intelligence and machine learning workloads. Due to the different types of machine learning algorithms possible, these processors are often focused on a few key areas, but one thing limits them all – how big you can make the processor. Two years ago Cerebras unveiled a revolution in silicon design: a processor as big as your head, using as much area on a 12-inch wafer as a rectan...