Can I Run Llama 3.3 on NVIDIA GeForce RTX 3090?

Superseded model. Llama 3.3 has been superseded by Llama 4.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 →

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — you'll have ~3.8 GB of headroom running Llama 3.3 70B Instruct at Q2_K_XS (Tight) (20.2 GB, ~25 tok/s (est.)).

See what else this hardware can run →

Buy This HardwareNVIDIA GeForce RTX 3090 24GB — 24 GB VRAM · 350 W board powerDeploy in the Cloud NowRTX 3090 on RunPod — from $0.46/hr · rate checked 2026-08

or compare on Vast.ai

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NVIDIA GeForce RTX 3090 24GB
24 GB VRAM · 350 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 3090 Specs

VRAM24 GB
Memory Bandwidth936 GB/s

Llama 3.3 70B Instruct on the NVIDIA GeForce RTX 3090: VRAM by quantization

QuantVRAM neededFits 24 GB?Max contextWhole PC
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✗ No——
Q3_K_M32 GB✗ No——
Q2_K25.2 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 24 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 Q2_K_XS (Tight) on the NVIDIA GeForce RTX 3090: 8K 23.7 GB · 32K 31.7 GB ✗ · 128K 64 GB ✗. Past 32K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Llama 3.3 70B Instruct on 256 GB of system RAM, CPU only: runs, but too slowly to be worth it.

Llama 3.3 Sizes That Fit the NVIDIA GeForce RTX 3090

Llama 3.3 70B InstructQ2_K_XS (Tight) · 20.2 GB · ~25 tok/s (est.)
Buy vs. rent Llama 3.3
Buy the GPU
~$1,499
NVIDIA GeForce RTX 3090 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 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

Is the NVIDIA GeForce RTX 3090 enough to run Llama 3.3 locally?

Yes, comfortably — you'll have ~3.8 GB of headroom running Llama 3.3 70B Instruct at Q2_K_XS (Tight) (20.2 GB, ~25 tok/s (est.)).

What's the best Llama 3.3 size for the NVIDIA GeForce RTX 3090?

Llama 3.3 70B Instruct at Q2_K_XS (Tight) quantization (20.2 GB), estimated ~25 tokens/sec.

Llama 3.3 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 3090

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Llama 3.3 Model Page | NVIDIA GeForce RTX 3090 GPU Page | Check Your Hardware