A harbor-master log helper works with a Hub pipeline for a handful of clerks, then stalls when fifty concurrent lookups arrive. What is the associate next step?
Select an answer to reveal the explanation.
Short Explanation
A Hub pipeline is fine for a handful of clerks and stalls at fifty concurrent lookups. Keep Hugging Face for the prototype and move the same task to Triton or NIM for live traffic. More laptop fans, a video model, or an NCCL training rewrite are not that next step.
Full Explanation
Hugging Face is the associate prototype path; Triton or NIM is the live serving path when concurrency grows. You keep the same task and move the runtime, you do not add fans to a Hub pipeline. A video model does not remove the need to serve text logs, and rewriting the job as NCCL training abandons inference. Prototype on the Hub, then serve elsewhere.