Tagged "mlx"
- Qualcomm and Samsung's 30-Year AI Alliance Enters a New Phase as On-Device AI Chip Race Heats Up
- Multi-Token Prediction support coming to MLX-LM for Qwen 3.5
- Qwen 3.5 Emerges as Top Performer for Local Deployment with Extensive Quantization Options
- Snapdragon 8 Elite Gen 5 Hands the Galaxy S26 the AI Upgrade We've Been Waiting For
- Kimi Introduces Attention Residuals: 1.25x Compute Performance at <2% Overhead
- LoKI – Local AI Assistant for Linux and WSL
- Dictare – Open-source Voice Layer for AI Coding Agents (100% Local)
- AMD Declares 'AI on the PC Has Crossed an Important Line' – Agent Computers as Next Breakthrough
- OpenClaw vs Eigent vs Claude Cowork: Comparing Open-Source AI Collaboration Platforms
- Startup Transforms Mac Mini Into Full-Powered AI Inference System With External GPU
- Local LLMs on Apple Silicon Mac 2026: M1 M2 M3 Guide
- SK Hynix Completes Qualification for LPDDR6 Memory Optimized for AI Inference
- Apple Launches MacBook Neo with A18 Pro Chip for Affordable Local AI Inference
- Real-World Qwen 3.5 9B Agent Performance on M1 Pro Validates Edge Deployment
- Apple Unveils MacBook Pro with M5 Pro and M5 Max Featuring On-Device AI
- Apple Unveils MacBook Pro With M5 Pro and M5 Max for On-Device AI
- Apple M4 iPad Air Targets AI Users with Double M1 Speed Performance
- Running Local AI Models on Mac Studio 128GB: 4B, 20B & 120B Tested
- Qualcomm Launches Snapdragon Wear Elite for On-Device AI on Wearables
- Apple Neural Engine Reverse-Engineered for Local Model Training on Mac Mini M4
- Mirai Announces $10M to Advance On-Device AI Performance for Consumer Devices
- How AI is Redefining Price and Performance in Modern Laptops
- Apple Accelerates U.S. Manufacturing with Mac Mini Production
- Qwen3-Code-Next Proves Practical for Local Development: Real-World Coding Tasks on Mac Studio
- Future of Mobile AI: What On-Device Intelligence Means for App Developers