Tagged "power-efficiency"
- AI Agent Designs a RISC-V CPU Core from Scratch
- Anker Unveils 'Thus' Chip to Bring On-Device AI Across Product Line
- Intel Extends AI PC Reach With New Core Ultra Series 3 Launch
- 115 TOPS in 0.67L: CHUWI AuBox X Packs On-Device AI Power Into a Palm-Sized Mini PC
- oMLX Framework Implements DFlash Attention for Optimized Inference
- The Best Local AI Model for Home Assistant Isn't Always the Biggest One
- Verbatim 140W GAN: One of the First Chargers With USB PD 3.2 AVS (SPR) Support
- NVIDIA and Google Optimize Gemma 4 AI Models for Local RTX Deployment
- Gemma 4 26B A4B Outperforms Qwen 3.5 35B on Apple Silicon
- OLED Emerges as the Display Standard for Energy-Efficient AI Systems
- This Wearable Runs an On-Device AI With 2-Week Battery Life
- Korea to Deploy Domestic AI Chips in Smart Cities as NPU Trials Scale Up
- Dell Pro Max 16 Plus Launches With Enterprise-Grade Discrete NPU for On-Device AI
- Linux 7.0 AMDGPU Fixing Idle Power Issue For RDNA4 GPUs After Compute Workloads
- SK Hynix Completes Qualification for LPDDR6 Memory Optimized for AI Inference
- Strix Halo (Ryzen AI Max+ 395) Achieves Strong Local Inference Performance with ROCm 7.2
- Apple Unveils MacBook Pro with M5 Pro and M5 Max Featuring On-Device AI
- Qualcomm Snapdragon Wear Elite Brings On-Device AI to Smartwatches
- Qwen 3.5-35B-A3B Emerges as Efficient Daily Driver, Replacing 120B Models
- Snapdragon 8 Elite Gen 5 for Galaxy Official: 5 Key Improvements that Push the Boundaries
- Seco Launches Edge AI System-on-Module at Embedded World 2026
- DeepSeek Paper – DualPath: Breaking the Bandwidth Bottleneck in LLM Inference
- Enhanced Interface Speed Enables High-Performance On-Device AI Features in Smartphones
- Nvidia Could Launch Its First Laptops With Its Own Processors
- AI Is Stress Testing Processor Architectures and RISC-V Fits the Moment
- Taalas Etches AI Models onto Transistors to Rocket Boost Inference
- Scaling llama.cpp On Neoverse N2: Solving Cross-NUMA Performance Issues
- Running Mistral-7B on Intel NPU Achieves 12.6 Tokens/Second
- Energy-Based Models Compared Against Frontier AI for Sudoku Solving
- Arm SME2 Technology Expands CPU Capabilities for On-Device AI