Can I Run Llama 4.5 on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
No — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~37.4 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Llama 4.5 Scout on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 221.6 GB | ✗ No | — | — |
| Q8_0 | 119.4 GB | ✗ No | — | — |
| Q6_K | 92.9 GB | ✗ No | — | — |
| Q5_K_M | 80.8 GB | ✗ No | — | — |
| Q4_K_M | 69.4 GB | ✗ No | — | — |
| Q3_K_M | 50 GB | ✗ No | — | — |
| Q2_K | 39.4 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 69.4 GB ✗ · 32K 77.6 GB ✗ · 128K 110.6 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 4.5 Scout on 64 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Llama 4.5 variant requires more VRAM than the NVIDIA GeForce RTX 5090 provides (32 GB).
Nearest GPU That Fits
NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB VRAM).
Llama 4.5 needs ~69 GB but this GPU has 32 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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FAQ
Llama 4.5 on the NVIDIA GeForce RTX 5090 — does it fit?
No — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), and the NVIDIA GeForce RTX 5090's 32 GB leaves it ~37.4 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
What GPU should I get instead to run Llama 4.5?
The NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB VRAM) is the cheapest upgrade that fits it.
Llama 4.5 on Other GPUs
- Llama 4.5 on Apple M4
- Llama 4.5 on Apple M2 Pro
- Llama 4.5 on Apple M1 Pro
- Llama 4.5 on Apple M5
- Llama 4.5 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
← Can I Run It? | Llama 4.5 Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware