On-Device-Ai

Google DeepMind has released Gemma 4, and it’s arguably the most consequential open model drop of the year so far. Not because it’s the most powerful model on any benchmark — it isn’t — but because of what it represents: a fully open-source, Apache 2.0 licensed, agent-ready model family that runs on hardware you already own, including your smartphone. For developers who’ve been waiting for a truly open, production-grade model built for agentic workflows, Gemma 4 is the answer. ...

Not every AI workload belongs in the cloud. Liquid AI’s new LocalCowork platform is making a direct bet on that premise — and backing it with a genuinely efficient model architecture that makes local agentic inference practical on consumer hardware. Released March 5, 2026, LocalCowork is an open-source local agentic workflow platform that runs MCP-based agent tasks entirely on-device using Liquid AI’s LFM2-24B-A2B mixture-of-experts model. The headline number: 2 billion active parameters out of 24 billion total. That ratio is what makes local deployment viable. ...

Something significant dropped in the open-source model space today: Alibaba’s Qwen3.5 Small series — a family of four on-device models ranging from 0.8B to 9B parameters — is now publicly available under the Apache 2.0 license. The headline claim from VentureBeat and confirmed by MarkTechPost: the 9B flagship outperforms OpenAI’s gpt-oss-120B on benchmarks, while running on a standard laptop. Let that land for a moment. A 9-billion-parameter model running on consumer hardware beats a 120-billion-parameter cloud model on capability benchmarks. If accurate — and the benchmark citations across multiple independent sources suggest it is — this is a meaningful moment for local and edge agentic deployments. ...