🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the Jetson Thor T3000 run MT-DNN?
Yes — here's how fast and up to what context, with real measured numbers.
MT-DNN on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 406k | 302-359.9 t/s | ~11.1-13.2 (slow) |
| Q8 | yes | 412k | 603.9-719.7 t/s | ~22.1-26.4 (slow) |
| Q4 | yes | 414k | 1078.4-1285.2 t/s | ~39.5-47.1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the Jetson Thor T3000 run MT-DNN?▶
Yes. At Q4 it generates ~1078.4-1285.2 tok/s and fits up to 414k context; beyond that it spills to SSD swap and slows to ~39.5-47.1 tok/s.
How much context fits?▶
At Q4, up to about 414k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.