🔌
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 NVIDIA GeForce RTX 4090 run jina-embeddings-v5-text-nano?
Yes — here's how fast and up to what context, with real measured numbers.
jina-embeddings-v5-text-nano on the NVIDIA GeForce RTX 4090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 307k | 1539.4-1834.6 t/s | ~61.1-72.8 (slow) |
| Q8 | yes | 310k | 3078.8-3669.3 t/s | ~122.2-145.6 (slow) |
| Q4 | yes | 312k | 5497.9-6552.3 t/s | ~218.2-260 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA GeForce RTX 4090 run jina-embeddings-v5-text-nano?▶
Yes. At Q4 it generates ~5497.9-6552.3 tok/s and fits up to 312k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~218.2-260 tok/s.
How much context fits?▶
At Q4, up to about 312k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.