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AI CURATED HOT STORY · 10/24/2026

Ember Engine Enables Lossless 30B Model Inference on Mobile Devices

1 reports archived1 independent sourcesupdated 10/24/2026, 12:00:00
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Wulianghuo Tech released the Ember inference engine, enabling 30B parameter LLMs to run on mobile devices with significantly reduced memory usage and no loss in quality or model modification. This solution addresses the storage-compute mismatch caused by cloud AI demand, accelerating the migration of intelligence to edge devices.

LATEST/Wulianghuo Tech released the Ember inference engine, enabling 30B parameter LLMs to run on mobile devices with significantly reduced memory usage and no loss in quality or model modification. This solution addresses the storage-compute mismatch caused by cloud AI demand, accelerating the migration of intelligence to edge devices.

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Total 1 reports · Latest first
  1. 量子位 (微信公众号)T2·68 pts
    • The Ember inference engine enables lossless execution of 30B LLMs on smartphones by optimizing system overhead rather than compressing model precision.
    • Cloud LLM demand has driven DRAM prices up nearly 10x, forcing the industry to accelerate edge AI adoption to resolve storage-compute mismatches.
    • With support from upstream technologies like HBF, 100B parameter models are projected to run smoothly on mobile devices next year, boosting agentic phones.
Ember Engine Enables Lossless 30B Model Inference on Mobile Devices | Today for AI