How vLLM schedules requests and allocates the KV cache
The September 26, 2026 article traces a request through vLLM and explains per-iteration scheduling and KV cache block allocation.
Source: Como o vLLM agenda requisições e aloca o KV cache (x.com). Text prepared with AI from this source.
What happened and what to do
Published on September 26, 2026, the article follows a request in vLLM from the queue through prefill and decoding. It explains how scheduling happens at each iteration and how PagedAttention allocates KV cache blocks as sequences grow, connecting batching with memory use during inference.
For a company operating models, these mechanisms can inform load tests and decisions about capacity and concurrency. A team could implement metrics and dashboards to track latency, queues, and memory consumption, then adjust batching policies and execution limits to fit the available infrastructure.
How the consultancy can help
Wendelmaques can diagnose inference memory use, queues, and performance; scope an implementation of metrics, dashboards, and execution adjustments; and support its operation if needed.
Next step
Send a short description of your inference service and its performance or capacity challenges to receive a scoped proposal.
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