Can NVIDIA RTX 5000 Ada run Codestral 22B?
22B parameter Code model on 32GB GDDR6 ECC
VRAM Requirements
Codestral 22B is a 22B parameter model. At full precision (FP16), it requires 44GB of VRAM. Your NVIDIA RTX 5000 Ada has 32GB, so you'll need to quantize it to 8-bit (Q8) to fit.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 64GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
Codestral 22B at this precision on NVIDIA RTX 5000 Ada 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 | shOllama is the easiest way to run local LLMs. Works on Linux, macOS, and Windows.
Step 2: Download and run Codestral 22B
ollama run codestral:22bThis downloads the model (~22GB). First run takes a few minutes.
Step 3: Verify GPU is being used
nvidia-smiCheck that VRAM usage increases when the model loads. You should see ~22GB used.
NVIDIA RTX 5000 Ada Specs
Other GPUs That Run Codestral 22B
Other Code Models on NVIDIA RTX 5000 Ada
About Codestral 22B
Top code completion model. Q4 fits on 16GB GPUs.