AssemblyAI cuts speech-to-text inference costs 70% on AWS Spot
The SQS retry-on-interruption pattern is the transferable piece: it shows how to make latency-sensitive GPU inference safe on Spot rather than batching only. Teams running speech, audio or vision inference on AWS can replicate the ECS-plus-SQS design to cut GPU spend sharply. The multi-Region European deployment detail also matters for anyone planning SLA-backed inference outside the US. Practical reading for platform engineers weighing Spot against on-demand GPU fleets.