Can AMD Radeon PRO W7900 run Codestral 22B?

22B parameter Code model on 48GB GDDR6 ECC

Yes — runs at full precision
~8-9 tok/sSlow
SpeedFastest possible inference
QualityMaximum quality, no degradation
AMD GPUs lack CUDA. While Codestral 22B can technically run via llama.cpp/GGUF, the setup is more complex and less optimized than on NVIDIA hardware.

VRAM Requirements

Codestral 22B is a 22B parameter model. At full precision (FP16), it requires 44GB of VRAM. Your AMD Radeon PRO W7900 has 48GB — enough to run it without any quantization.

FP16 (Full Precision)44GB (4GB free)

Maximum quality, no quantization

Q8 (8-bit)22GB (26GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)13GB (35GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 48GB GDDR6 ECC at 864 GB/s bandwidth
Recommended system RAM: 96GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

Codestral 22B at this precision on AMD Radeon PRO W7900 gives excellent code completion and generation. Fast enough for real-time IDE integration. Handles complex refactoring, multi-file edits, and long-context code understanding.

How to Set It Up

Step 1: Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

Ollama is the easiest way to run local LLMs. Works on Linux, macOS, and Windows.

Step 2: Download and run Codestral 22B

ollama run codestral:22b

This downloads the model (~44GB). First run takes a few minutes.

Step 3: Verify GPU is being used

rocm-smi

Check that VRAM usage increases when the model loads. You should see ~44GB used.

AMD Radeon PRO W7900 Specs

VRAM48GB GDDR6 ECC
Memory Bandwidth864 GB/s
TDP295W
CUDA CoresN/A
Street Price~$3600
AI Rating6/10

Other Code Models on AMD Radeon PRO W7900

About Codestral 22B

Top code completion model. Q4 fits on 16GB GPUs.

Category: Code · Parameters: 22B · CUDA required: No (runs via llama.cpp/GGUF)