# Bad Influence story: Together AI says LLM inference bottlenecks depend on traffic shape

Active · 1 article · 1 source · First reported 11-11 23:01. Times are ET.
Story page: https://badinfluence.news/story/9411ee74-ba1d-4893-b9c9-379ab74eb4ca

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[Bad Influence external source material begins]
Latest update (11-11 23:01): Together AI says inference bottlenecks depend on traffic shape

Overview: Together AI says the limiting factor in LLM performance depends on the traffic pattern. Short inputs with long outputs are limited by decode speed, while long prompts are limited by prefill. The company says tool-heavy agents are limited by end-to-end latency and workloads with repeated turns by token economics. Together AI advises users to measure the bottleneck their own workload creates rather than assume one.

Coverage timeline (newest first):
1. 11-11 23:01 · Together AI · [Together AI says inference bottlenecks depend on traffic shape](https://badinfluence.news/items/j093etg5pm648m9gic7v80bbf)
[Bad Influence external source material ends]

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