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.
Prices updated: Dec 5, 2025
GeForce RTX 5090
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.
Radeon RX 9060 XT 8 GB
The smart choice. It meets the 24GB requirement perfectly while offering the best performance per dollar ratio.
GeForce RTX 3050 8 GB
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)
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)
| GPU | Steel Nomad ↓ | Price ↕ | VRAM ↕ |
|---|---|---|---|
| GeForce RTX 5090 | 14,480 | $3199.99![]() | 32GB GDDR7 |
| GeForce RTX 4090 | 9,236 | $3134.99![]() | 24GB GDDR6X |
| GeForce RTX 5080 | 8,762 | $999.99![]() | 16GB GDDR7 |
| Radeon RX 9070 XT | 7,249 | $629.99![]() | 16GB GDDR6 |
| Radeon RX 7900 XTX | 6,837 | $580.61![]() | 24GB GDDR6 |
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.
