Can I Run GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5090?
作者： Jakub Rusinowski · 最后更新： 2026年9月29日
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~423.2 GB short.
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
GLM-5 744B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1494 GB | ✗ No | — | — |
| Q8_0 | 796.5 GB | ✗ No | — | — |
| Q6_K | 616.1 GB | ✗ No | — | — |
| Q5_K_M | 533.3 GB | ✗ No | — | — |
| Q4_K_M | 455.2 GB | ✗ No | — | — |
| Q3_K_M | 323.2 GB | ✗ No | — | — |
| Q2_K | 250.6 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 455.2 GB ✗ · 32K 470.9 GB ✗ · 128K 533.7 GB ✗. Past 8K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? GLM-5 744B on 256 GB of system RAM, CPU only: still does not fit.
Why It Does Not Fit
Every GLM-5 / GLM-5.1 variant requires more VRAM than the NVIDIA GeForce RTX 5090 provides (32 GB).
GLM-5 / GLM-5.1 needs ~455 GB but this GPU has 32 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run GLM-5 / GLM-5.1 on the NVIDIA GeForce RTX 5090?
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~423.2 GB short.
GLM-5 / GLM-5.1 on Other GPUs
- GLM-5 / GLM-5.1 on Apple M4
- GLM-5 / GLM-5.1 on Apple M2 Pro
- GLM-5 / GLM-5.1 on Apple M1 Pro
- GLM-5 / GLM-5.1 on Apple M5
- GLM-5 / GLM-5.1 on Apple M3 Pro
Popular Models on the NVIDIA GeForce RTX 5090
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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