Can I Run GLM-4 9B on NVIDIA RTX 6000 Ada Generation?
Written by Jakub Rusinowski · Last updated July 21, 2026
Yes. GLM-4 9B needs 7.4 GB at 8K context (5.4 GB weights + 2 GB KV cache/overhead) at Q4_K_M and the NVIDIA RTX 6000 Ada Generation has 48 GB, leaving about 40.6 GB of headroom, at roughly 111 tok/s (estimated) with room for up to 64K of context.
See what else this hardware can run →
The numbers
| Model | GLM-4 9B |
| Parameters | 9B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 7.4 GB |
| NVIDIA RTX 6000 Ada Generation VRAM | 48 GB |
| Verdict | Runs |
| Max context | 64K |
| Estimated speed | ~111 tok/s |
GLM-4 9B on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 20 GB | ✓ Yes | 64K | — |
| Q8_0 | 11.6 GB | ✓ Yes | 64K | — |
| Q6_K | 9.4 GB | ✓ Yes | 64K | — |
| Q5_K_M | 8.4 GB | ✓ Yes | 64K | — |
| Q4_K_M | 7.4 GB | ✓ Yes | 64K | — |
| Q3_K_M | 5.8 GB | ✓ Yes | 64K | — |
| Q2_K | 5 GB | ✓ Yes | 64K | — |
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 48 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 RTX 6000 Ada Generation: 8K 7.4 GB · 32K 11.1 GB · 125K 25.1 GB. Every window this model publishes still fits 48 GB.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? GLM-4 9B on 8 GB of system RAM, CPU only: runs, but it is tight.
Running GLM-4 9B on this card:
At 2 hrs/day, buying (~$6,799) beats renting at $0.34/hr after about 27.8 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other GLM-4.7 / GLM-Z1 sizes on the NVIDIA RTX 6000 Ada Generation
- GLM-Z1 32B (Reasoning) — runs (22 GB)
- GLM-4.7-Flash 30B-A3B — runs (20.7 GB)
GLM-4 9B on nearby hardware
- Apple M3 Pro (36 GB) — runs
All GLM-4.7 / GLM-Z1 sizes on the NVIDIA RTX 6000 Ada Generation | GLM-4 9B model page | NVIDIA RTX 6000 Ada Generation GPU page | VRAM calculator | Check your hardware