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Siddardha Shayini

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#edge computing Open access Sep 2026

Hardware-Adaptive Inference Orchestration: Zero-Overhead Local LLM Agents on Resource-Constrained Edge Devices

Autonomous AI agents typically rely on multi-turn ReAct loops that demand repeated system-prompt evaluation, persistent state tracking, and frequent tool selection. On constrained edge hardware—especially CPU-only devices with approximately 8 GB of RAM—this style of orchestration creates two compounding failure modes:...

Siddardha Shayini · 0 citations
#edge computing Open access Sep 2026

Hardware-Adaptive Inference Orchestration: Zero-Overhead Local LLM Agents on Resource-Constrained Edge Devices

Autonomous AI agents typically rely on multi-turn ReAct loops that demand repeated system-prompt evaluation, persistent state tracking, and frequent tool selection. On constrained edge hardware—especially CPU-only devices with approximately 8 GB of RAM—this style of orchestration creates two compounding failure modes:...

Siddardha Shayini · 0 citations

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