Cerebras Systems has at present confirmed that its CS-1 computing system has achieved a new efficiency milestone, delivering speeds far past what present CPUs and GPUs are capable of obtain.
The CS-1, which is primarily based on Cerebras’ WSE processor – the world’s largest pc chip, can now declare to be the “fastest AI computer in existence.”
According to Cerebras and the Department of Energy’s National Energy Technology Laboratory (NETL), the CS-1 is extra than 10,000 times quicker than main GPU opponents and 200 times quicker than the Joule Supercomputer – at the moment ranked 82nd on the checklist of the highest 500 supercomputers on this planet.
“Cerebras is proud to extend its work with NETL and produce extraordinary results on one of the foundational workloads in scientific compute,” Andrew Feldman, co-founder and CEO at Cerebras Systems, defined.
“This work opens the door to major breakthroughs in scientific computing performance, as the CS-1, with its wafer-scale engine, overcomes traditional barriers to high achieved performance, enabling real-time and other use cases precluded by the failure of strong scaling. Because of the radical memory and communication acceleration that wafer scale integration creates, we have been able to go far beyond what is possible in a discrete, single chip processor, be it a CPU or a GPU.”
The want for pace
The workload carried out to ship the brand new CS-1 benchmarks concerned a massive, sparse, structured system of linear equations, the type used to mannequin a variety of real-world situations, together with fluid dynamics and vitality effectivity.
Despite its spectacular statistics, nonetheless, there stay query marks over what kind of functions it will likely be potential to run utilizing the wafer-scale know-how that underpins the CS-1. Computer modelling at fast pace actually appears to be potential and there is a lot pleasure in regards to the potential future intersection of supercomputing and synthetic intelligence.