STREAM: Multi-Tier LLM Inference Middleware with Dual-Channel HPC Token Streaming
Researchers and practitioners working with large language models face a fragmented landscape: local models are free and private but hardware limits the model size and context windows a researcher can use; institutional HPC centers offer powerful GPU resources at no marginal cost and keep data within institutional boundaries, but operate behind firewalls and are designed for batch jobs rather than interactive use; commercial cloud APIs provide frontier-model quality on demand but impose significant cost and data retention policies unsuitable for sensitive research data. No existing system unifies all three. STREAM (Smart Tiered Routing Engine for AI Models) addresses this gap with four con...
| Authors | Anas Nassar, Steve Mohr, Leonard Apanasevich et al. |
|---|---|
| Primary category | cs.DC |
| Published | 11 June 2026 |
| Last updated at source | 11 June 2026 |
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