Can I Run Llama 4 on NVIDIA GeForce RTX 5090?
作者: Jakub Rusinowski · 最后更新: 2026年7月12日
No — Llama 4 doesn't fit the NVIDIA GeForce RTX 5090's 32 GB; you're short by ~5.4 GB even at Q2_K. The cheapest card that runs it is the NVIDIA A100 80GB (PCIe) (80 GB).
Get a personalized upgrade path →
作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。
NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Llama 4 Scout 17B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 219.6 GB | ✗ No | — | — |
| Q8_0 | 117.4 GB | ✗ No | — | — |
| Q6_K | 91 GB | ✗ No | — | — |
| Q5_K_M | 78.9 GB | ✗ No | — | — |
| Q4_K_M | 67.4 GB | ✗ No | — | — |
| Q3_K_M | 48.1 GB | ✗ No | — | — |
| Q2_K | 37.4 GB | ✗ No | — | — |
Assumes a 4K-token context with an f16 KV cache. 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 68.2 GB ✗ · 32K 73.1 GB ✗ · 128K 92.4 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? Llama 4 Scout 17B on 48 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Llama 4 variant requires more VRAM than the NVIDIA GeForce RTX 5090 provides (32 GB).
Nearest GPU That Fits
NVIDIA A100 80GB (PCIe) (80 GB VRAM).
Llama 4 needs ~66 GB but this GPU has 32 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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
Will Llama 4 run on the NVIDIA GeForce RTX 5090?
No — Llama 4 doesn't fit the NVIDIA GeForce RTX 5090's 32 GB; you're short by ~5.4 GB even at Q2_K. The cheapest card that runs it is the NVIDIA A100 80GB (PCIe) (80 GB).
What GPU should I get instead to run Llama 4?
The NVIDIA A100 80GB (PCIe) (80 GB VRAM) is the cheapest upgrade that fits it.
Every Llama 4 size on the NVIDIA GeForce RTX 5090
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Llama 4 Maverick 17B | 241.5 GB | Does not fit | — |
| Llama 4 Scout 17B | 65.8 GB | Does not fit | — |
Llama 4 on Other GPUs
- Llama 4 on Apple M4
- Llama 4 on Apple M2 Pro
- Llama 4 on Apple M1 Pro
- Llama 4 on Apple M5
- Llama 4 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
- 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
← Can I Run It? | Llama 4 Model Page | NVIDIA GeForce RTX 5090 GPU Page | Check Your Hardware