Tagged "edge-ai-applications"
7 articles tagged edge-ai-applications, 3 April 2026 to 30 May 2026. Newest first.
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Zoho-Backed Netrasemi Launches 12nm AI Chip, Mass Production Begins This Year
India's Netrasemi, backed by Zoho, is launching a 12nm AI processor with mass production starting in 2026, offering a homegrown option for local LLM inference with implications for edge deployment and hardware accessibility.
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OpenBMB Runs Local Agents with MiniCPM5-1B – Efficient LLM for Edge Deployment
OpenBMB demonstrates local agent execution using MiniCPM5-1B, an extremely efficient model optimized for on-device inference and agentic workflows.
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Maker Builds Offline Jetson-Powered Chatbot Suitcase
An engineer created a portable, self-contained chatbot system using NVIDIA Jetson hardware in a suitcase form factor, enabling fully offline conversational AI. This innovative project demonstrates practical packaging of local LLM inference for mobile deployment.
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Deploying Frigate & Ollama On A Minisforum MS-A2 Server
A practical deployment guide demonstrates running Frigate video analytics and Ollama LLM inference simultaneously on compact, low-power edge hardware. This real-world example shows how to combine multiple AI workloads on resource-constrained devices.
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Show HN: An MCP server that lets AI compose music on a hardware synth
A novel MCP (Model Context Protocol) server demonstration that enables local AI models to directly control hardware synthesizers for real-time music composition. This showcases practical edge computing capabilities for generative tasks beyond text.
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Local LLM Connected to Home Assistant via MCP Now Enables Autonomous Smart Home Management
A developer successfully integrated a local LLM with Home Assistant using the Model Context Protocol (MCP), enabling autonomous smart home control without cloud dependencies. This demonstrates practical applications of on-device AI for home automation systems.
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Gemma 4 2B Successfully Runs on Raspberry Pi 5
The Gemma 4 E2B 2B variant runs viably on Raspberry Pi 5 with 8GB RAM using llama.cpp, extending local LLM capabilities to ultra-low-power edge devices.