Trendora

Concurrency

Hold

Techniques

Executing multiple operations or agent tasks in parallel to improve throughput.

Why it's here

Placed in Hold: 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)

  • 5OpenAI Blog·1/8/2026research
    Netomi’s enterprise scaling lessons for agentic AI systems

    OpenAI highlights how Netomi scales enterprise AI agents by combining GPT-4.1 and GPT-5.2 with concurrency, governance, and multi-step reasoning. The approach is presented as a way to make agentic workflows more reliable in production settings.