Why did Cerebras choose to build a dinner-plate-sized wafer-scale chip?
Replied byAndrew Feldman
Co-founder & CEO at Cerebras Systems
Niche: Technology
Revenue: Approx. $72 Million/month
Location: Sunnyvale, California, United States
Started: 2016
SRAM memory is exceptionally fast but cannot store much data per unit area. To hold the weights of modern AI models on fast SRAM, we had to build a chip that was forty-six thousand square millimeters, which is fifty-eight times larger than a standard GPU.
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