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8 AI agents process 250K contexts concurrently on dual 3090s

By PulseAugur Editorial · [1 sources] ·

A developer has created a system that allows eight AI agents to concurrently process contexts of up to 250,000 tokens each, utilizing two NVIDIA 3090 GPUs. This approach keeps the full context in system RAM and only loads approximately 1% of relevant tokens per step, significantly reducing PCIe bandwidth usage. The system achieves speeds of over 500 tokens per second in total, with individual agents maintaining high performance even during extended conversations. AI

IMPACT Enables more complex, long-context AI agent interactions on consumer hardware.

RANK_REASON This is a user-developed optimization for running LLMs locally, not a release from a frontier lab or a major industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

8 AI agents process 250K contexts concurrently on dual 3090s

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
This is a user-developed optimization for running LLMs locally, not a release from a frontier lab or a major industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
9 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/o2beast ·

    8 agents × 250K context, concurrently, on two 3090s (~600+ tok/s total)

    <!-- SC_OFF --><div class="md"><p>I am wide open to the idea that I am misguided or misinformed, but my findings feel worth sharing:</p> <p>Short video of my UI with 8 agents each explaining a codebase in parallel long prose: <a href="https://imgur.com/JSqlXIi">https://imgur.com/…

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