Tagged "arm-processor"
8 articles tagged arm-processor, 11 February 2026 to 1 June 2026. Newest first.
-
Qualcomm Reveals Snapdragon C with Advanced On-Device AI Engine
Qualcomm announces Snapdragon C processor featuring a 6nm process, optimised core configuration, and dedicated on-device AI accelerator. The chip targets mobile and edge devices for local AI inference.
-
Arm and Google Collaborate on On-Device AI Optimization Techniques
Arm and Google have published guidance on accelerating on-device AI inference, focusing on optimization strategies for edge devices and resource-constrained environments. The collaboration provides practical approaches for deploying LLMs efficiently on mobile and embedded systems.
-
Building a Remote-Accessible Local LLM Server on Raspberry Pi
A practical guide demonstrating how to deploy and access a local LLM server running on a Raspberry Pi from anywhere, combining edge deployment with convenient remote access.
-
Running a 1.7B Parameters LLM on an Apple Watch
A developer successfully deployed a 1.7 billion parameter language model on an Apple Watch, demonstrating extreme edge inference capabilities on ultra-constrained wearable hardware.
-
Qualcomm Launches Snapdragon Wear Elite for On-Device AI on Wearables
Qualcomm unveiled the Snapdragon Wear Elite chip at MWC 2026, bringing dedicated on-device AI capabilities to smartwatches and wearables. This represents a significant upgrade in edge inference capabilities for constrained devices.
-
Qwen3.5-35B Successfully Runs on Raspberry Pi 5 at 3+ Tokens/Second
Demonstration of Qwen3.5-35B inference on Raspberry Pi 5 (16GB and 8GB variants) achieving over 3 tokens/second, proving high-capacity models viable on edge devices.
-
Scaling llama.cpp On Neoverse N2: Solving Cross-NUMA Performance Issues
Deep dive into optimizing llama.cpp performance on ARM Neoverse N2 processors, addressing critical NUMA topology challenges for better local inference scaling.
-
Arm SME2 Technology Expands CPU Capabilities for On-Device AI
Samsung and Arm announce SME2 technology that significantly enhances CPU performance for local AI inference, potentially reducing reliance on dedicated AI accelerators.