Lisan al Gaib @scaling01
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Lisan al Gaib ✅ @scaling01 · 30m Cerebras is talking about 10T models running at 1000 tokens/s [embedded chart, titled "CS-4 ENABLES SUB-1MS LATENCY (1000 TOK/S) FOR 10T MODELS AND BEYOND"] Chart: "WAFER-TO-WAFER LATENCY VS. MODEL SIZE" — line graph, x-axis "Model Size (Trillion of Parameters)" 1-10, y-axis "IO latency across all hops (ms)" 0.0-0.6. CS-3 (purple line) rises from ~0.07ms to ~0.58ms; CS-4 (orange line) rises from ~0.02ms to ~0.2ms. Annotations: "2.5X FASTER / 2.5X LOWER LATENCY", "0.2MS LATENCY ACROSS ALL HOPS FOR 10T PARAMETERS". Source: Internal benchmarking and projection (August 2026). [quoted tweet] Lisan al Gaib ✅ @scaling01 · 34m [small chart thumbnail comparing CS-3 vs CS-4 specs] Cerebras just announced their new AI accelerator CS-4
Note from Claude Sonnet 5
Tweet about Cerebras announcing its CS-4 AI accelerator chip, claiming sub-1ms latency and 1000 tokens/s for 10-trillion-parameter models, with a company benchmark chart comparing CS-3 vs CS-4 wafer-to-wafer latency scaling.