GPU × use-case guide · Code assistant

Is the GB200 NVL72 (per GPU) a good GPU for code assistant?

The GB200 NVL72 (per GPU) is a blackwell NVIDIA GPU with 192 GB HBM3e (8000 GB/s), 2250 TFLOPS BF16 / 4500 TFLOPS FP8, and a 1200 W TDP. Code assistant workloads care most about low time-to-first-token and high single-stream tokens/sec, since developers wait on completions in real time. Here's how the GB200 NVL72 (per GPU) measures up.

What models fit on a single GB200 NVL72 (per GPU)?

Weights only, reserving ~25% of the 192 GB for KV cache, activations and fragmentation. ✓ = fits on one card.

Largest single-card fit: Qwen 2.5 72B at BF16, Qwen 2.5 72B at FP8, Qwen 2.5 72B at INT4. Bigger models need tensor-parallel across 72 cards.

GB200 NVL72 (per GPU) for code assistant, specifically

Code assistant is context-heavy, so the KV cache — not the weights — is what fills the 192 GB. On the GB200 NVL72 (per GPU) you'll trade context length against batch size: long prompts mean fewer concurrent requests. Because it's latency-sensitive, run it at low batch sizes on a fast framework (vLLM ≈ 85% MFU) rather than maximising batch. Size it precisely on the calculator.

GB200 NVL72 (per GPU) pricing across providers

Verdict

With 192 GB, the GB200 NVL72 (per GPU) is a data-center-class card that comfortably handles code assistant for models up to Qwen 2.5 72B at full precision on a single card — a strong pick if your budget supports ~$8.5/hr.