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From the blog
In-depth guides and insights from the review desk.
Inference SystemsTransformer Inference, From HTTP Request to the Next Token
A systems-level tour of prefill, decode, batching, memory movement, and the scheduling decisions that determine real-world LLM latency.
Inference SystemsKV Cache Engineering: Pages, Prefix Reuse, and Memory Pressure
How to size, allocate, reuse, compress, and evict the state that makes autoregressive decoding practical.
Inference SystemsSpeculative Decoding Without Hand-Waving
Draft models, acceptance math, tree proposals, and the operational details that decide whether speculation makes serving faster.