Production AI inference requires end-to-end engineering
Published on March 3, 2026, Philip Kiely’s book covers the hardware, software, techniques, and infrastructure for production inference systems, focusing mainly on language models with some coverage of diffusion.
Source: Inference Engineering aborda sistemas de inferência em produção (baseten.co). Text prepared with AI from this source.
What happened and what to do
Published on March 3, 2026, Philip Kiely’s book covers the hardware, software, techniques, and infrastructure needed to run AI models in production. Its focus is mainly on language models, with some coverage of diffusion; the publication emphasizes the value of foundational knowledge about inference systems.
A company can apply this perspective to assess its inference architecture: measure latency, capacity, and availability, review costs, and identify bottlenecks across models, software, and infrastructure. A response could include monitoring, APIs, operational controls, and private inference deployment where appropriate to the business requirements.
How the consultancy can help
Wendelmaques can diagnose a company’s inference architecture and requirements, define an implementation scope, and support the operation of monitoring, APIs, and infrastructure as needed.
Next step
Send a short description of your inference scenario to receive a scoped proposal for diagnosis and implementation.
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