Is this directly comparable with live speech recognition?
Not from the published result. The case study focuses on offline batch workloads, where throughput and utilization can be prioritized differently from low-latency interactive transcription.
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Deepgram's Trainium Port Shows Why Inference Cost Depends on the Whole StackDeepgram and AWS report 11–70% more offline transcription per dollar on one Trainium2 setup. The kernels, runtime and workload explain the narrow result.
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