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Goodput, Not Just Throughput: Prefill, Decode, and Rethinking AI Inference episode artwork

EPISODE · Jan 5, 2026 · 5 MIN

Goodput, Not Just Throughput: Prefill, Decode, and Rethinking AI Inference

from Intellectually Curious · host Mike Breault

We unpack the core bottleneck in streaming AI: the split between heavy pre-fill computations and fast, memory-light decoding. From chunked prefill to physical separation (DissServe) and logical isolation (DuetServe), we explore how phase isolation eliminates interference, delivering 2x–4.5x better goodput and transforming cost efficiency. Join us as we translate GPU architecture ideas into scalable, user-friendly AI services, with practical takeaways for builders, operators, and decision-makers.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC

Episode metadata supplied by the publisher feed · Published Jan 5, 2026

What this episode covers

We unpack the core bottleneck in streaming AI: the split between heavy pre-fill computations and fast, memory-light decoding. From chunked prefill to physical separation (DissServe) and logical isolation (DuetServe), we explore how phase isolation eliminates interference, delivering 2x–4.5x better goodput and transforming cost efficiency. Join us as we translate GPU architecture ideas into scalable, user-friendly AI services, with practical takeaways for builders, operators, and decision-make...

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Goodput, Not Just Throughput: Prefill, Decode, and Rethinking AI Inference

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This episode is 5 minutes long.

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This episode was published on January 5, 2026.

What is this episode about?

We unpack the core bottleneck in streaming AI: the split between heavy pre-fill computations and fast, memory-light decoding. From chunked prefill to physical separation (DissServe) and logical isolation (DuetServe), we explore how phase isolation...

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