@VedaAI00: Cerebras co-founder explains the fundamental difference between WSE and NVIDIA GPU. GPU was designed for graphics rendering, relying on stacking cores and NVLink interconnect to run AI; WSE (Wafer Scale Engine) directly makes an entire wafer into a single chip, with on-chip interconnect bandwidth…
Summary
Cerebras co-founder explains the fundamental difference between WSE (Wafer Scale Engine) and NVIDIA GPU: GPU is designed for graphics, runs AI by stacking cores and NVLink interconnect, while WSE makes the entire wafer into a single chip, with on-chip interconnect bandwidth and memory bandwidth far exceeding GPU clusters, greatly leading in inference speed.
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Cerebras co-founder explains the fundamental difference between WSE and NVIDIA GPU
GPUs are designed for graphics rendering, relying on many cores and NVLink interconnects to run AI; the WSE (Wafer Scale Engine) turns an entire wafer into a single chip, with on-chip interconnect bandwidth that is orders of magnitude ahead of GPU clusters, and all memory is on the chip.
The result: WSE can significantly outperform GPU clusters in inference speed, but the approach is completely different.
https://x.com/elliotarledge/status/2057932592901755242…
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