Engineering-first robotics, AI, maker hardware, STEM, and creator technology reporting
AMD’s Threadripper Halo Station prototype combines a 96-core workstation CPU with up to four MI350P accelerators and 576 GB of HBM3E.
AMD Threadripper Halo Station Packs Up to 576 GB of HBM3E Read More
Raspberry Pi’s LiteRT update is useful for local AI builds, but hardware acceleration still needs a bench test plan before it becomes a field appliance.
LiteRT on Raspberry Pi AI HAT+: What Makers Should Test Before Offloading Models Read More
A Raspberry Pi 5 multilingual translator project points to the practical edge-AI questions TVG cares about: latency, setup, fallback behavior, privacy, and field maintainability.
Gemma Translator on Raspberry Pi 5 Shows the Real Test for Local AI Appliances Read More
Raspberry Pi AI projects can make local inference tangible for students, but classrooms need a validation checklist for cameras, data, latency, privacy, and failure logs.
Raspberry Pi AI Projects Need a Classroom Validation Checklist Read More
Raspberry Pi AI projects can fail for storage reasons. This TVG buyer guide explains when a microSD card is enough and when a USB SSD belongs in the classroom kit.
MicroSD Card or USB SSD for Raspberry Pi AI Projects? Read More
Raspberry Pi Press is promoting a new AI Projects with Raspberry Pi book. For TVG readers, the signal is less about a single title and more about local AI becoming a normal maker-lab workflow.
Raspberry Pi’s New AI Projects Book Points Makers Toward Local AI Builds Read More
AMD’s July 2026 AI event is not just a data-center story. For local-AI builders, the useful signals are software maturity, model deployment paths, power envelopes and what trickles down to workstations and edge systems.
AMD Advancing AI 2026 Gives Local-AI Builders a Compute Stack to Watch Read More
A spec-based buyer evaluation for small local AI labs comparing NPU laptops, mini PCs, and Jetson-style developer kits without claiming hands-on testing.
NPU Laptop, Mini PC, or Jetson Kit? A Local AI Lab Buyer Evaluation Read More
Google DeepMind and NVIDIA are pushing DiffusionGemma toward local RTX workstations, changing how small teams may evaluate latency, VRAM, and local AI tooling.
Google DiffusionGemma Brings Parallel Text Generation to Local RTX PCs Read More
Local AI hardware is not just a TOPS number. Small teams choosing between an NPU laptop and a mini PC should test memory, thermals, software support, power use, and workflow fit.
NPU Laptop or Mini PC for Local AI? A Buyer Evaluation for Small Teams Read More