Philip Kiely leads Developer Relations at Baseten and is the author of "Inference Engineering" (Baseten, 2026), a practical guide to running AI models in production covering quantization, speculative decoding, KV cache reuse, model parallelism, and multi-modal serving. His recent talks, podcast appearances, and technical writing make him a high-signal speaker for engineers building or optimizing production AI inference infrastructure.

Recent talks (5)

Inference Engineering for Hypergrowth with Philip KielySigsum 2025 · Oct 2025Inference Engineering Is the Next Big Role in AI w/ Philip KielyBig Ideas in App ArchitectureInterview: Philip Kiely (Baseten) on production-grade AI and the shift toward open-source inferenceDec 2025Sponsor Session: Low-Precision Inference without Quality Loss: Selective Quantization and MicroscalingPyTorch Conference 2025 · Oct 2025Philip Kiely | Inference EngineeringCTO Confidential

Public activity researched automatically · as of Jun 2026