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X @Avi Chawla
Avi Chawla· 2026-02-25 06:30
8x faster LLM inference than Cerebras is here!!And it generates 17,000 tokens per second.Today, a key bottleneck in how LLM inference works is that when you run a model on any GPU, the model weights live in memory, and the compute cores have to constantly fetch those weights to do math.That back-and-forth between memory and compute is the single biggest reason inference is slow. It's also the reason we need expensive HBM stacks, liquid cooling, and high-speed interconnects, making AI data centers costly.Taa ...