An autoresearch loop found the CPU bottleneck choking his served model
Opus, in an autoresearch-style loop, diagnosed CPU contention on tokenization bottlenecking an internally served model and ran parallel experiments showing an haproxy load balancer was much better than its own Python proposal.
This only partly worked. Read what happened before you try it.
How it works
- The model, in an autoresearch-style loop, diagnoses processor contention on tokenization bottlenecking an internally served model
- Runs parallel experiments to show the handling
Why it’s worth knowing
The model was never slow; its tokenizer was starved.
Where it’s from
Summarized from a public post on news.ycombinator.com. See the original ↗