Transformer ASIC vs GPU Cluster Simulator Jane Street & Sohu Bench

In quantitative transformer inference, latency decomposes into key-value cache memory transfers, attention compute kernels, and inter-accelerator communication. At baseline seventy billion parameters, dedicated ASICs complete execution in eight point four milliseconds, comfortably clearing the twelve millisecond SLA limit. Selecting high throughput batching expands concurrency to thirty-two and context to sixteen thousand tokens, rapidly multiplying total throughput. Fixed-function ASIC silicon sustains a three point two times total cost of ownership advantage, delivering higher token density per watt and per dollar.