Model ongoing requests and multi-step agent work to estimate capacity, latency, and cost per completed task. Break execution into stages, account for queues and retries, and produce workload tables with average and peak resource budgets.
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把持续请求、多轮 Agent、实时交互或 RL 轨迹转成容量与时延负载。用于估算峰值、状态驻留和完成任务的真实成本。
安装前可以查看交给 AI 代理的指令内容。
适用：单请求估算已经有了，但系统需要处理到达、排队、工具等待或失败重试。依据 manuscripts/03-推理与训练负载.md 第 3.1—3.6 节。
交付负载轨迹表及峰值/平均两组预算。训练和 RL 任务还应计入反向、权重同步与有效样本率。不要把每秒 token 吞吐直接当作 Agent 任务完成率。
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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.
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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 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.
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.
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