Can I Run Qwen 3.7 on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Qwen 3.7 35B-A3B at Q4_K_M needs 23.8 GB at 8K context (21.1 GB weights + 2.7 GB KV cache/overhead), leaving ~8.2 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~247 tok/s (est.), with room for up to 32K context.
See what else this hardware can run →
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Qwen 3.7 35B-A3B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 72.7 GB | ✗ No | — | — |
| Q8_0 | 39.9 GB | ✗ No | — | — |
| Q6_K | 31.4 GB | ✓ Yes | 8K | — |
| Q5_K_M | 27.5 GB | ✓ Yes | 16K | — |
| Q4_K_M | 23.8 GB | ✓ Yes | 32K | — |
| Q3_K_M | 17.6 GB | ✓ Yes | 64K | — |
| Q2_K | 14.2 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 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 23.8 GB · 32K 29.4 GB · 128K 52 GB ✗. Past 128K 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? Qwen 3.7 35B-A3B on 24 GB of system RAM, CPU only: runs, but it is tight.
Qwen 3.7 Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)
| Qwen 3.7 35B-A3B | Q4_K_M · 23.8 GB at 8K context · ~247 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 5090 have enough VRAM for Qwen 3.7?
Yes, comfortably — Qwen 3.7 35B-A3B at Q4_K_M needs 23.8 GB at 8K context (21.1 GB weights + 2.7 GB KV cache/overhead), leaving ~8.2 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~247 tok/s (est.), with room for up to 32K context.
Which quantization of Qwen 3.7 should I use on the NVIDIA GeForce RTX 5090?
Qwen 3.7 35B-A3B at Q4_K_M quantization needs 23.8 GB at 8K context (21.1 GB weights + 2.7 GB KV cache/overhead), estimated ~247 tokens/sec, up to 32K context.
Qwen 3.7 on Other GPUs
- Qwen 3.7 on Apple M4
- Qwen 3.7 on Apple M2 Pro
- Qwen 3.7 on Apple M1 Pro
- Qwen 3.7 on Apple M5
- Qwen 3.7 on Apple M3 Pro
Popular Models on the NVIDIA GeForce RTX 5090
- DeepSeek R1 on NVIDIA GeForce RTX 5090
- Qwen 3 on NVIDIA GeForce RTX 5090
- Qwen 2.5 Family on NVIDIA GeForce RTX 5090
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Qwen 3.7 Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware