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News/OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming
arxiv
PublishedOctober 1, 2026 at 4:00 AM

OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming

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arXiv:2609.34653v2 Announce Type: replace-cross Abstract: On-device streaming omni-modal inference safeguards user privacy and eliminates prohibitive per-token API costs, but faces a critical bottleneck: the continuous influx of multimodal data rapidly exhausts constrained memory and compute budgets

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