What runs on a 32 GB GPU, exactly
RTX 5090. Open models in their original precision, no quantization, with and without Glyd.
Runs only with Glyd
Runs either way
| Needs, GB | Room for context, K tokens | |||
|---|---|---|---|---|
| Model | bf16 | Glyd | bf16 | Glyd |
| 6.3 | 4.8 | 2,281 | 2,402 | |
| 8.4 | 6.3 | 358 | 386 | |
| 9.0 | 6.9 | 228 | 246 | |
| 9.7 | 7.1 | 1,503 | 1,663 | |
| 10.9 | 8.3 | 166 | 184 | |
| 11.2 | 8.1 | 710 | 803 | |
| 11.9 | 8.6 | 3,115 | 3,584 | |
| 17.2 | 12.4 | 138 | 174 | |
| 17.8 | 12.5 | 1,157 | 1,521 | |
| 18.7 | 13.5 | 126 | 166 | |
| 19.2 | 14.0 | 110 | 145 | |
| 20.7 | 14.5 | 420 | 608 | |
| 21.2 | 15.7 | 405 | 571 | |
| 26.4 | 18.6 | 132 | 252 | |
| 26.9 | 18.8 | 125 | 248 | |
| 32.6 | 23.0 | 16 | 63 | |
| 32.8 | 23.3 | 15 | 63 | |
Too big for 32 GB
| Needs, GB | |||
|---|---|---|---|
| Model | bf16 | Glyd | Fits on |
| 51.0 | 35.1 | 48 GB | |
| 53.8 | 36.8 | 48 GB | |
| 57.6 | 39.6 | 48 GB | |
| 57.7 | 39.5 | 48 GB | |
Questions about 32 GB GPUs
Which models run on a 32 GB GPU only with Glyd?
None of the models we track: every one that fits with Glyd fits in bf16 too, and Glyd leaves the difference for a longer context.
Is it slower than bf16?
Not measured on a 32 GB GPU yet. In v0.22.0's run, one sequence at a time took 8 to 25% less GPU time a step than bf16 on every GPU tested.
Has Glyd been measured on a 32 GB GPU with a 2026 model?
Yes: Qwen3.5-9B's weights took 13.89 GiB with Glyd on an RTX 5090 against bf16's 17.66 (vLLM 0.30.0, v0.29.0).
How is this different from a 4-bit GGUF?
A 4-bit model is smaller, 4 bits a weight and their scales, but its weights are rounded and its answers change. Glyd gives you the original model.