Cerebras Supercomputer Calculates at 1 Exaflop per Second

Cerebras Systems has unveiled its Andromeda AI supercomputer. With 13.5 million cores, it can calculate at the rate of 1 exaflop — roughly one quintillion (1 followed by 18 zeroes) operations — per second using a 16-bit floating point format. Andromeda’s brain is built of 16 linked Cerebras CS-2 systems, AI computers that use giant Wafer-Scale Engine 2 chips. Each chip has hundreds of thousands of cores, but is more compact and powerful than servers that use standard CPUs, according to Cerebras, which is making Andromeda available for commercial and academic research. Continue reading Cerebras Supercomputer Calculates at 1 Exaflop per Second

AI Firm Cerebras Systems Raises $250 Million in New Funding

Cerebras Systems has raised $250 million in a series F funding round, bringing the Sunnyvale, California-based firm’s value to more than $4 billion, according to the company. Cerebras makes what is described as the world’s fastest chip, the Wafer Scale Engine 2 (WSE-2). Investment from Alpha Wave Ventures and Abu Dhabi Growth Fund will allow Cerebras to make the CS-2 AI accelerator compute system designed around the turbo-charged WSE-2 chips available to new customers globally in what co-founder and CEO Andrew Feldman describes as the “democratization of AI.” Continue reading AI Firm Cerebras Systems Raises $250 Million in New Funding

Cerebras Chip Tech to Advance Neural Networks, AI Models

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