WHAT THIS CARD IS WORTH
GT 140 OEM 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 140 OEM1 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 140 OEM — 1 GB VRAM.
▸ GEFORCE GT 140 OEM SPEC
- BRAND
- NVIDIA
- VRAM
- 1 GB GDDR3
- BANDWIDTH
- 57.6 GB/s
- FP16 COMPUTE
- 0.2 TFLOPS
- FP32 COMPUTE
- 0.2 TFLOPS
- CUDA CORES
- 64
- TDP
- 105 W
- ARCHITECTURE
- Tesla
▸ AI CAPABILITY
4/ 449 models @ Q4
With 1 GB VRAM and 57.6 GB/s bandwidth, this GPU handles models up to 0.14B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~7 tok/s.
§ 01TOP MODELS FOR GEFORCE GT 140 OEM
4 FIT · SHOWING 4| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| nomic-embed-text-v1.5 100M | 0.14B | 0.6 GB | 329 | 62.3 |
| GPT-2 124M | 0.14B | 0.6 GB | 329 | 6.5 |
| SmolLM2 135M | 0.135B | 0.6 GB | 341 | 7.0 |
| Falcon-H1R Tiny 90M | 0.09B | 0.5 GB | 512 | — |