Edge AI

5 pieces on Edge AI.

News & Analysis

Local AI Is a Workload Decision, Not a Capability Race
articles
Shan • 2026-10-17
local AIon-device inferenceMixture-of-Expertsprivacyedge AIAI infrastructure

Local AI Is a Workload Decision, Not a Capability Race

Three releases—Muse Spark Open, Nemotron 3.5 Super VL, and AI Edge Foresight—show local AI wins only where privacy, latency, or offline requirements justify its costs.

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news
Shan • 2026-10-09
GoogleEdge AImacOSMeeting NotesOn-Device AI

Google AI Edge Foresight Takes Meeting Notes Fully Offline

Google's free experimental macOS app transcribes meetings and audio files entirely on-device with EmbeddingGemma 2, keeping local files and notes out of the cloud.

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news
Shan • 2026-08-31
WebGPUBrowser InferencePrivacyEdge AITransformers.jsDuckDB

WebGPU + DuckDB-Wasm Bring Real AI Workloads Into the Browser

James Hall shows how WebGPU, Transformers.js, and DuckDB-Wasm make client-side AI inference practical for production workloads — without sending data to the cloud.

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news
Shan • 2026-08-18
NVIDIATensorRTInferenceOpen SourceEdge AI

NVIDIA TRTMC: Hugging Face to C++ TensorRT in Two Commands, No ONNX

NVIDIA's TensorRT Model Connect converts supported checkpoints to native C++ inference in two CLI commands, no ONNX export, across 76 model families.

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Needle 2: 45M-Parameter Tool-Calling Model in a 14MB Binary
news
Shan • 2026-08-14
Small Language ModelsEdge AIOpen WeightsTool CallingInference

Needle 2: 45M-Parameter Tool-Calling Model in a 14MB Binary

Cactus Compute's Needle 2 runs a full inference session in 28MB of RAM, hits 500 tokens/sec on a Raspberry Pi 5, and needs no GPU.

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