Skip to contentSkip to filters

We use cookies for analytics.

How to Engineer AI Inference Systems

About

Philip Kiely surveys inference engineering at the intersection of GPU programming, applied research and distributed systems. Topics include batching, quantisation, speculative execution, cache reuse and workload-specific serving, alongside the choices between hosted APIs, dedicated deployments and internal platforms for multimodal and agent applications.

Topics

inference engineeringGPU programmingdistributed systemsbatchingquantisationspeculative executioncache reuseworkload-specific servingagent applications

More from this series