Best GPU for Llama 3 (70B) (2025)

Llama 3 70B is a massive model requiring significant memory. You need at least 24GB VRAM (like an RTX 3090/4090) for 4-bit quantization. For better performance, dual GPUs are often required.

Minimum VRAM 24 GB
Recommended 48 GB+
BEST PERFORMANCE

GeForce RTX 5090

32GB GDDR7

The ultimate choice for Llama 3 (70B). With 32GB GDDR7 VRAM and a massive score of 14,480 , it handles large contexts and training with ease.

BEST VALUE

Radeon RX 9060 XT 8 GB

8GB GDDR6

The smart choice. It meets the 24GB requirement perfectly while offering the best performance per dollar ratio.

BUDGET PICK

GeForce RTX 3050 8 GB

8GB GDDR6

The most affordable way to run Llama 3 (70B). It hits the minimum specs needed to get started without breaking the bank.

Why VRAM Matters for Llama 3 (70B)

Running a 70B parameter model is a different ballgame. Even heavily compressed to 4-bit (EXL2 or GGUF), the model weights alone take up ~40-42GB. This means a single 24GB card (like RTX 4090) CANNOT run the full 70B model natively without aggressive quantization (2.4-bit) which degrades quality, or offloading to system RAM (which is very slow). The ideal setup is dual 24GB GPUs (2x 3090/4090) to get 48GB VRAM, allowing for fast 4-bit inference with full context.

Llama 3 (70B) GPU & System Requirements

CPU

High-end 8-core+ CPU with high PCIe lane count recommended

RAM

64GB DDR5 (System RAM is used for offloading if VRAM fills up)

Storage

Fast NVMe SSD (Model files are 40GB+, loading takes time)

All Compatible GPUs for Llama 3 (70B)

GPUSteel Nomad VRAM Buy
GeForce RTX 509014,48032GB GDDR7Buy on Amazon
GeForce RTX 40909,23624GB GDDR6XBuy on Amazon
GeForce RTX 50808,76216GB GDDR7Buy on Amazon
Radeon RX 9070 XT7,24916GB GDDR6Buy on Amazon
Radeon RX 7900 XTX6,83724GB GDDR6Buy on Amazon

Frequently Asked Questions

What are the GPU requirements for Llama 3 70B?

Llama 3 70B has steep GPU requirements. You need at least 24GB VRAM (e.g., RTX 3090/4090) to run it at low precision (EXL2 2.4bpw) or with CPU offloading. For a proper 4-bit experience, you need 48GB VRAM, typically achieved with dual RTX 3090s or 4090s.

Can I run Llama 3 70B on a single RTX 4090?

Yes, but with compromises. You have to use a very low quantization (IQ2_XS or similar) to fit it into 24GB, or use GGUF offloading where part of the model runs on your CPU/RAM. Offloading significantly slows down generation speed (from ~30 t/s to ~3-5 t/s).

What is the cheapest way to run Llama 3 70B?

Dual used RTX 3090s (NVLink is optional for inference but helpful). This gives you 48GB VRAM for under $1500, which is far cheaper than a professional RTX 6000 Ada.

See Also