Stage 3: Massively Parallel Agent Inference

Experimental. Fan out thousands of LLM requests in parallel on HPC.

Task

Build agentic applications that fan out thousands of LLM inference requests in parallel on HPC systems.

Why This Matters

Scientific applications often require millions of LLM calls—literature mining, molecular screening, hypothesis generation. Parallel inference on HPC turns months of sequential work into hours.

Details

Aspect	Value
CAF Components	LangGraph, FIRST, inference orchestration
Where it runs	HPC accelerator nodes
Scale	O(10³–10⁴) concurrent inference streams
Status	Prototype (Aurora: 2000+ nodes demonstrated)

Architecture

┌────────────┐          ┌────────────────────────────┐
│Coordinator │          │     HPC (Aurora)           │
│            │          │                            │
│ ┌───────┐  │  fan out │ ┌─────┐┌─────┐    ┌─────┐ │
│ │ Agent │──┼─────────▶│ │LLM 1││LLM 2│ ···│LLM N│ │
│ └───────┘  │          │ └──┬──┘└──┬──┘    └──┬──┘ │
│            │          │    └──────┴──────────┘    │
│ ┌───────┐  │ results  │            │              │
│ │Aggreg.│◀─┼──────────┼────────────┘              │
│ └───────┘  │          └────────────────────────────┘
└────────────┘

Code

Aurora 2000-node demo — documentation coming soon

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