WHAT THIS CARD IS WORTH
GT 640 Rev. 2 holds 4 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Qwen 3.5 0.8B at Q4_K_M.
TOKENS/SEC PER $100
—
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
—
what memory costs on this card
THE BIGGEST IT TAKES
AGAINST CARDS OF SIMILAR MEMORY
GT 640 Rev. 21 GB——
Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.
▸ DEVICE UNDER TEST
NVIDIA GeForce GT 640 Rev. 2 — 1 GB VRAM.
▸ GEFORCE GT 640 REV. 2 SPEC
- BRAND
- NVIDIA
- VRAM
- 1 GB GDDR5
- BANDWIDTH
- 40.1 GB/s
- FP16 COMPUTE
- 0.8 TFLOPS
- FP32 COMPUTE
- 0.8 TFLOPS
- CUDA CORES
- 384
- TDP
- 49 W
- ARCHITECTURE
- Kepler 2.0
▸ AI CAPABILITY
4/ 449 models @ Q4
With 1 GB VRAM and 40.1 GB/s bandwidth, this GPU handles models up to 0.14B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~5 tok/s.
§ 01TOP MODELS FOR GEFORCE GT 640 REV. 2
4 FIT · SHOWING 4| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| nomic-embed-text-v1.5 100M | 0.14B | 0.6 GB | 229 | 62.3 |
| GPT-2 124M | 0.14B | 0.6 GB | 229 | 6.5 |
| SmolLM2 135M | 0.135B | 0.6 GB | 238 | 7.0 |
| Falcon-H1R Tiny 90M | 0.09B | 0.5 GB | 356 | — |