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World's first trillion transistor chip introduced for artificial intelligence training


GPUs (graphics processing units) are commonly used for training GPU programs. The faster processing power and higher speeds of GPUs make this task easier. A California startup has introduced the trillion transistor chip to train artificial intelligence programs. It is the world's first trillion transistor chip.
Cerberus Systems, a San Francisco company, has built a 46,225 square millimeter processing chip called the Cerberus Wafer Scale Engine (WSE).
This chip is 56 times larger than the largest GPU. According to Cerberus, WSE's on-chip memory is 3000 times faster and its bandwidth memory is 10,000 times higher than GPU-based AI acceleration. WSE has 4 million computing cores. It has 18 gigabytes of local, distributed memory. The network of these cores enables an average bandwidth of 100 beats bits.
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