Deep learning requires a complicated neural network composed of computers wired together into clusters at data centers, with cross-chip communication using a lot of energy and slowing down the process. Cerebras has a different approach. Instead of making chips by printing dozens of them onto a large silicon wafer and then cutting them out and wiring them to each other, it is making the largest computer chip in the world, the size of a dinner plate. Texas Instruments tried this approach in the 1960s but ran into problems. Continue reading Cerebras Chip Tech to Advance Neural Networks, AI Models

Cerebras Systems and its partner, the Department of Energy’s National Energy Technology Laboratory (NETL), revealed that its CS-1 system, featuring a single massive chip that features an innovative design, is 10,000+ times faster than a graphics processing unit (GPU). The CS-1, built around Cerebas’ Wafer-Scale Engine (WSE) and its 400,000 AI cores, was first announced in November 2019. The partnership between the Energy Department and Cerebras includes deployments with the Argonne National Laboratory and Lawrence Livermore National Laboratory. Continue reading The Cerebras CS-1 Chip Is 10,000 Times Faster Than a GPU