3 ms·
for example, models running at like 100-150 tokens/second (or faster!) vs 15 t/s (fable/sol are ~60 t/s, and OpenAI just announced their Cerebras partnership(?
by kyxsc 2mo ago
for example, models running at like 100-150 tokens/second (or faster!) vs 15 t/s
(fable/sol are ~60 t/s, and OpenAI just announced their Cerebras partnership(?) for "ultrafast" mode of 750 t/s)
models aren't able to run that fast right now on our consumer/prosumer hardware. M5 Max for example has a memory bandwidth of 600 GB/s. a 5090 has 3x that, so running the same model on a 5090 is that much faster (provided the model is within 30GB).
running a bigger model on an M5 Ultra is still much slower than running it on a Blackwell chip with sufficient vram, CUDA being a major difference. if apple can bridge this gap, interesting things will happen... and just imagine if M7 Ultra has comparable speeds to Blackwell (or even Rubin)!
- toasty228 2mo agoMeanwhile the GB300 used by hosted llms: GPU Memory Bandwidth: 7.1 TB/s Interconnect Bandwidth: 900 GB/s bidirectional https://pi3g.com/nvidia-gb300-specifications-including-memory-bandwidth-and-llm-benchmarks-based-on-2026-systems/ https://pi3g.com/nvidia-gb300-specifications-including-memor... If you think M7 will hit even 15% of these speeds you're very optimistic.
- webbrain 2mo agonah it won't fit that