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Andrew Feldman: Cerebras and AI Hardware
The Gradient: Perspectives on AI
Scale Clusters Using Memory X Technology
We invented some technology that allowed us to store parameters off chip and provide the performance as if it were on chip. The technique is called weight streaming. We implemented it in hardware. And the result is the single system one can support, you know, GPT XL at a billion three GPT J at six billion, Neo at 20. It can support the clover at 30 at 87 at 173 or 83 at 175 a single system.
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