Use-case guide · Code assistant

Should you pick RTX 6000 Ada for code assistant?

RTX 6000 Ada has 48 GB VRAM. Whether it's the right fit for code assistant depends on your model size, expected QPS, and budget. Below is what we're seeing in production.

VRAM + model fit

RTX 6000 Ada fits models up to ~34B parameters in BF16 comfortably with room for KV-cache. For code assistant specifically, you'll want to leave headroom for context length growth.

Pricing

Live pricing across all providers for RTX 6000 Ada is on the GPU detail page — click through for the sortable list.

Throughput

On code assistant workloads, RTX 6000 Ada typically delivers the throughput published in its FP16 spec, minus the framework overhead (vLLM ≈ 85% MFU, TGI ≈ 70%).

Try the calculator to size the hardware for your specific model, or see all GPUs on the InferenceScore leaderboard.