SiliconANGLE reports on why investors poured another $250 million into Cerebras Systems Inc:
Enterprises typically use graphics processing units in their AI projects. The fastest GPU on the market today features about 54 billion transistors. Cerebras Systems’ chip, the WSE-2, includes 2.6 trillion transistors that the startup says make it the “fastest AI processor on Earth.”
WSE-2 stands for Wafer Scale Engine 2, a nod to the unique architecture on which the startup has based the processor. The typical approach to chip production is carving as many as several dozen processors into a silicon wafer and then separating them. Cerebras Systems is using a vastly different method: The startup carves a single large processor into the silicon wafer that isn’t broken up into smaller units.
The 2.6 trillion transistors in the WSE-2 are organized into 850,000 cores…
Cerebras Systems says that the WSE-2 has 123 times more cores and 1,000 times more on-chip memory than the closest GPU. The chip’s impressive specifications translate into several benefits for customers, according to the startup, most notably increased processing efficiency. To match the performance provided by a WSE-2 chip, a company would have to deploy dozens or hundreds of traditional GPU servers… With the WSE-2, data doesn’t have to travel between two different servers but only from one section of the chip to another, which represents a much shorter distance. The shorter distance reduces processing delays. Cerebras Systems says that the result is an increase in the speed at which neural networks can run.
of this story at Slashdot.
Source:: Slashdot