Unverified50% confidenceFactExact time
Each non-streaming generate call in Ollama returns the load, prompt-eval, and generation durations in nanoseconds, along with token counts.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/5/2026
First Seen
Valid until: 1/3/2027
Sources
Related Entities
Related Claims
UnverifiedModels in Ollama are automatically unloaded from VRAM after a period of receiving no requests.67% similarUnverifiedContinuous Batching manages batches at the iteration level, checking after each round of token generation whether any request has completed and assigning the freed slot to a new request, achieving throughput improvements of several times over static batching.58% similarUnverified每个子代理启动都需重新注入项目背景、规则约束和代码库快照,导致 Token 消耗呈倍增态势而非线性叠加,主任务消耗 N 个 Token 时三个子代理可能合计消耗 3N 甚至更多57% similarUnverified多智能体并行调度可将总耗时从O(N)降至O(N/K)(K为并行Worker数量),依赖asyncio、Redis Streams消息队列及分布式锁机制57% similarUnverifiedTriggering a full state save on every streamed data chunk is a classic performance anti-pattern.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/977209API
curl https://kongchang.com/api/v1/knowledge/claims/977209MCP
get_claim(id=977209)