Can I Run Llama 3.3 on NVIDIA L40S?

Superseded model. Llama 3.3 has been superseded by Llama 4. This page is kept for reference; the newer family is a better starting point. View Llama 4 →

Written by Jakub Rusinowski · Last updated July 21, 2026

Yes, comfortably — you'll have ~27.8 GB of headroom running Llama 3.3 70B Instruct at Q2_K_XS (Tight) (20.212500000000002 GB, ~34 tok/s (est.)).

Buy This HardwareNVIDIA L40S 48GB — 48 GB VRAM · 350 W board powerDeploy in the Cloud NowNVIDIA L40S on RunPod — from $0.86/hr · rate checked 2026-08

or compare on Vast.ai

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NVIDIA L40S 48GB
48 GB VRAM · 350 W board power
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA L40S Specs

VRAM48 GB
Memory Bandwidth864 GB/s

Llama 3.3 70B Instruct on the NVIDIA L40S: VRAM by quantization

QuantVRAM neededFits 48 GB?Max context
F16142.1 GB✗ No
Q8_076.5 GB✗ No
Q6_K59.5 GB✗ No
Q5_K_M51.8 GB✗ No
Q4_K_M44.4 GB✓ Yes8K
Q3_K_M32 GB✓ Yes32K
Q2_K25.2 GB✓ Yes64K

VRAM needed assumes a 4K-token context with an f16 KV cache; “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.

Llama 3.3 Sizes That Fit the NVIDIA L40S

Llama 3.3 70B InstructQ2_K_XS (Tight) · 20.212500000000002 GB · ~34 tok/s (est.)
Buy vs. rent Llama 3.3
Buy the GPU
~$7,499
NVIDIA L40S · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$7,499) beats renting at $0.34/hr after about 30.6 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Will Llama 3.3 run on the NVIDIA L40S?

Yes, comfortably — you'll have ~27.8 GB of headroom running Llama 3.3 70B Instruct at Q2_K_XS (Tight) (20.212500000000002 GB, ~34 tok/s (est.)).

Which Llama 3.3 variant fits best on the NVIDIA L40S?

Llama 3.3 70B Instruct at Q2_K_XS (Tight) quantization (20.212500000000002 GB), estimated ~34 tokens/sec.

Llama 3.3 on Other GPUs

Popular Models on the NVIDIA L40S

VRAM Tier

Troubleshooting

Buying Guide

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