Compare ways to distribute AI inference across multiple instances, including replicas and separate input-processing and generation stages. Estimate capacity, throughput, delays, state-transfer costs, and recovery overhead to support routing and scaling decisions.
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比较推理副本、prefill/decode 分离、专家放置与共享 KV 的跨实例方案。用于容量规划、路由、扩缩容和故障恢复。
安装前可以查看交给 AI 代理的指令内容。
适用：单实例配置已知，需把计算和状态分配到多个实例。依据 manuscripts/09-分布式推理.md 第 9.1—9.7 节。
报告资源配比、阶段服务率、链路瓶颈及状态交接成本。只有局部 kernel 指标时，先取得完整请求轨迹再做部署结论。
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Compare computing devices for a defined AI model workload using memory capacity, computing speed, data transfer, energy use, and cost. Build a comparison that separates predicted performance from measurements and identifies the constraints that determine the choice.
中文简介正在准备中。当前显示英语简介。
Plan when an agent’s tool environments are created, kept available, released, and restored. Estimate peak concurrency, resource use during work and waiting, total task duration, and cost across model calls, tool execution, validation, and retries.
中文简介正在准备中。当前显示英语简介。
Estimate cross-server traffic, network bottlenecks, and synchronization waits for AI training or inference. Map communication onto physical network paths and assess how topology or communication changes affect the time needed to complete the job.
中文简介正在准备中。当前显示英语简介。
Compare running models or tasks on a device, nearby edge infrastructure, or in the cloud. Break down interaction delays, data transfers, energy use, costs, and failure recovery to assess deployment choices for multimodal and real-time agents.
中文简介正在准备中。当前显示英语简介。
Compare batching, request scheduling, and memory management for a single model serving instance. Assess concurrent request capacity, response times, generation speed, and GPU time per result that meets the required quality and deadline.
中文简介正在准备中。当前显示英语简介。
Analyze GPU operation timings and execution traces to find costly data access, repeated computation, launch overhead, and synchronization waits. Check whether improving an individual operation actually reduces the time needed to complete a full request.
中文简介正在准备中。当前显示英语简介。