Can I Run Llama 4.5 on NVIDIA L40S?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 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 L40S's 48 GB leaves it ~21.4 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
Get a personalized upgrade path →
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
NVIDIA L40S Specs
| VRAM | 48 GB |
| Memory Bandwidth | 864 GB/s |
Llama 4.5 Scout on the NVIDIA L40S: VRAM by quantization
| Quant | VRAM needed | Fits 48 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 | ✓ Yes | 32K | — |
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 L40S: 8K 69.4 GB ✗ · 32K 77.6 GB ✗ · 128K 110.6 GB ✗. Past 8K it no longer fits 48 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 L40S provides (48 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 48 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
Does the NVIDIA L40S have enough VRAM for Llama 4.5?
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 L40S's 48 GB leaves it ~21.4 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
Which GPU can actually 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 NVIDIA RTX 6000 Ada Generation
- Llama 4.5 on Apple M3 Pro
- Llama 4.5 on NVIDIA GeForce RTX 5090
- Llama 4.5 on Apple M4
- Llama 4.5 on Apple M2 Pro
Popular Models on the NVIDIA L40S
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 L40S GPU Page | VRAM calculator | Check Your Hardware