Together AI· Inference platform

Optimizing inference speed and costs: Lessons learned from large-scale deployments

Together AI shares lessons learned from large-scale deployments on optimizing inference speed and costs, covering quantization, distillation, regional inference proxies, reducing compute stalls, decoding optimizations, and hardware choices.

From the source

How can teams reduce inference latency without massive costs? Achieving faster inference doesn't always mean paying more for a bigger cluster. At Together AI, we’ve seen teams that consistently deliver both low latency and low cost share these key habits:

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Announced

22 Jan 2026 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+193d after)