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Compilation and Kernel Optimization Strategies
Compilation and Kernel Optimization Strategies A surprising amount of “model performance” is really “system performance.” Two teams can serve the same weights and get very different cost, latency, and reliability because the path from tokens to silicon is not a straight line. The difference is not only hardware. It is the stack of compilers, kernels, […]
Speculative Decoding in Production
Speculative Decoding in Production Serving modern models is often a race against a simple fact: generation is sequential. Each token depends on the previous token. That sequential dependency makes raw parallelism harder than it looks on a benchmark chart. Speculative decoding is one of the most important practical tricks for bending that constraint. It uses […]
Streaming Responses and Partial-Output Stability
Streaming Responses and Partial-Output Stability Streaming turns an AI request into a live session: the user sees output while the model is still thinking, decoding, and sometimes calling tools. That feels instant, and it often is. But streaming also changes the shape of failure. When output arrives as a trickle, quality issues do not wait […]
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Concepts, patterns, and practical guidance on Serving Architectures within Inference and Serving.
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Core concepts and measurement discipline that keep AI claims grounded in reality.
AI Product and UX
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Adoption strategy, economics, governance, and organizational change driven by AI.
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Compute, hardware constraints, and systems engineering behind AI at scale.