On-Device & Edge AI
Local AI, edge computing, private LLMs, and mobile inference
The Jetson Orin Nano 2 Just Made Edge AI a Commodity
NVIDIA's Jetson Orin Nano 2 packs 78 TOPS of AI compute into an entry-level robotics module, doubling the inference performance of its predecessor while drawing 40% less power at the same performance. With availability set for the first half of 2027, NVIDIA is turning entry-level edge AI into a commodity.
Apple’s M6 and M5 Ultra Turn the Mac Into a Local AI Workstation
Apple's M6 and M5 Ultra chips, debuting in the new Mac mini and Mac Studio, turn the desktop into a serious local AI workstation — with up to 512GB of unified memory, GPU Neural Accelerators, and clustering over Thunderbolt 5. The economics are the story: run frontier open-weight models on-device instead of paying metered cloud API bills.
The Personal AI Cloud: Why Everyone Will Have Their Own Private LLM by 2027
When was the last time you actually read the terms of service before hitting “Agree”? Exactly. For the last three ...
On-Device AI Has Quietly Taken Over Your Phone (And Why That’s a Good Thing)
Do you know where your data goes when you ask your phone to summarize a confidential email? A year ago, ...
The State of Robotaxis: Where Autonomous Driving Is in 2026
Robotaxis have finally arrived at scale, and the competition between major players is intensifying. Waymo leads in miles driven and ...
Edge AI: Why the Future of Intelligence Is Offline
The Intelligence Revolution Moves Offline: How Edge AI is Reshaping Computing For most of the AI era, intelligence has been ...
