Search
Homepage Rankings and Research Companies Channelcast Marketing Matters CRNtv Events WOTC Jobs Cisco Partner Summit Digital 2020 Lenovo Tech World Newsroom Dell Technologies World Digital Experience 2020 HPE Zone Masergy Zenith Partner Program Newsroom Dell Technologies Newsroom Fortinet Secure Network Hub Hitachi Vantara Digital Newsroom IBM Newsroom Juniper Newsroom The IoT Integrator Lenovo Channel-First NetApp Data Fabric Intel Tech Provider Zone

The Biggest News From Supercomputing 2019

The Supercomputing 2019 provides a window into the future of computing with announcements from Intel, Hewlett Packard Enterprise, Dell EMC, Nvidia and more on new, groundbreaking technologies for high-performance computing and artificial intelligence.

Back 1 ... 4   5   6   7  
photo

Cerebras Reveals CS-1 AI Computer For Its Large Accelerator Chip

Cerebras, an artificial intelligence chip startup, lifted the curtains on its CS-1 system, which is based on the company's large Wafer Scale Engine chip to enable what it calls the "world's fastest AI computer."

The Los Altos, Calif.-based startup said the CS-1 delivers compute performance with less space and power than any other system, representing one-third of a standard data center rack while replacing the need for hundreds of thousands of space- and power-hungry GPUs.

Cerebras said the Wafer Scale Engine is "the only trillion transistor wafer scale processor in existence," measuring at 56.7 times larger and containing 78 times more compute cores than the largest GPU. The chip contains 400,000 compute cores and 18 gigabytes of on-chip memory.

Among the startup's early customers is the U.S. Department of Energy's Argonne National Laboratory, which is using the CS-1 system to accelerate neural networks for cancer studies.

"The CS-1 is a single system that can deliver more performance than the largest clusters, without the overhead of cluster set up and management," Kevin Krewell, Principal Analyst, TIRIAS Research, said in a statement. "By delivering so much compute in a single system, the CS-1 not only can shrink training time but also reduces deployment time. In total, the CS-1 could substantially reduce overall time to answer, which is the key metric for AI research productivity."

 

 
 
Back 1 ... 4   5   6   7  

sponsored resources