The new money brings Cerebras’s total raised to $750 million, and the company says it has a post-money valuation of over $4 billion.
Said co-founder and CEO Andrew Feldman in prepared remarks, “The Cerebras team and our extraordinary customers have achieved incredible technological breakthroughs that are transforming AI, making possible what was previously unimaginable.  See also: Cerebras prepares for the era of 120 trillion-parameter neural networks. “This new funding allows us to extend our global leadership to new regions, democratizing AI, and ushering in the next era of high-performance AI compute to help solve today’s most urgent societal challenges – across drug discovery, climate change, and much more.”
Cerebras, which competes with AI chip Titan Nvidia, as well as fellow startups Graphcore and SambaNova Systems, among others, is building whole computer systems and cloud services wrapped around a set of components based on the world’s biggest chip, what Cerebras calls its Wafer-Scale Engine, or WSE.
In the spring, the company unveiled the second version of the WSE, packing 2.6 trillion transistors onto a surface taking up almost the entirety of a 12-inch semiconductor wafer.
The WSE-2 is housed in the company’s dedicated rack-mountable CS-2 server computer. In August, Cerebras added to its offerings with a dedicated memory storage unit, MemoryX, and a dedicated high-bandwidth switch that connects multiple CS-2 units to the MemoryX, called SwarmX. See also: Mammoth AI report says era of deep learning may fade, but that’s unlikely. In September, the company announced a partnership with cloud operator Cirrascale for those who want to rent the CS-2 before rather than purchasing outright.
Cerebras says its infrastructure portfolio will compute very large neural networks of perhaps trillions of parameters much better than computing offerings with less horsepower. The company also claims top results on non-AI problems such as complex combinatorial problems in physics and other basic scientific research. 
Cerebras started out with customers at the U.S.’s national research laboratories and has branched out to commercial enterprises as well. The customer list now includes Argonne National Laboratory, Lawrence Livermore National Laboratory, Pittsburgh Supercomputing Center (PSC) for its groundbreaking Neocortex AI supercomputer, EPCC, the supercomputing center at the University of Edinburgh, Tokyo Electron Devices, GlaxoSmithKline, and AstraZeneca.