CrewAI
AssessLanguages & Frameworks
An agent framework for coordinating multiple AI agents and tasks.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 8The New Stack·8/18/2026researchAgentic AI faces a latency wall that more compute cannot fix
Akamai’s State of AI Inference 2026 report says half of enterprise AI deployments are missing their latency targets at peak load, even as most critical use cases now require sub-500ms response times. The article argues that agentic workflows create many sequential hops across networks and CPUs, so adding more GPUs alone does not solve end-to-end latency in production.