Train your neural network in TensorFlow or PyTorch, and run it inside CircuitPython using a single line of Python code.
Discussion thread about using a Seeed Studio reTerminal E1002 color ePaper display as a Home Assistant dashboard.
A better USB-to-serial adapter with a built-in screen. It supports baud rates from 1200 to 2 Mbit, all the while showing critical line status and traffic on its tiny yet full-featured monitor.
Nabu Casa is the company behind Home Assistant, offering cloud services, hardware, and supporting the open-source project. This article details their role and how they contribute to the smart home ecosystem.
The Heltec WiFi LoRa 32 (V4) is an ESP32-S3-based off-grid LoRa/Meshtastic communicator with solar charging, optional GNSS, and a high 28dBm transmit power.
Edison is a programmable robot designed to be a complete STEM teaching resource for coding and robotics education for students from 4 to 16 years of age. Edison empowers students to become not just coders, but inventors, problem solvers, and creative thinkers.
A mini review of the GL.iNet Comet GL-RM1, a remote KVM device that allows remote control of systems without onboard iKVM. The review covers hardware overview, setup and potential use cases, comparing it to alternatives like the JetKVM.
Simon Willison received a preview unit of the NVIDIA DGX Spark, a desktop "AI supercomputer" retailing around $4,000. He details his experience setting it up and navigating the ecosystem, highlighting both the hardware's impressive specs (ARM64, 128GB RAM, Blackwell GPU) and the initial software challenges.
Key takeaways:
* **Hardware:** The DGX Spark is a compact, powerful machine aimed at AI researchers.
* **Software Hurdles:** Initial setup was complicated by the need for ARM64-compatible software and CUDA configurations, though NVIDIA has significantly improved documentation recently.
* **Tools & Ecosystem:** Claude Code was invaluable for troubleshooting. Ollama, `llama.cpp`, LM Studio, and vLLM are already gaining support for the Spark, indicating a growing ecosystem.
* **Networking:** Tailscale simplifies remote access.
* **Early Verdict:** It's too early to definitively recommend the device, but recent ecosystem improvements are promising.
Key takeaways:
* **Hardware:** The DGX Spark is a compact, powerful machine aimed at AI researchers.
* **Software Hurdles:** Initial setup was complicated by the need for ARM64-compatible software and CUDA configurations, though NVIDIA has significantly improved documentation recently.
* **Tools & Ecosystem:** Claude Code was invaluable for troubleshooting. Ollama, `llama.cpp`, LM Studio, and vLLM are already gaining support for the Spark, indicating a growing ecosystem.
* **Networking:** Tailscale simplifies remote access.
* **Early Verdict:** It's too early to definitively recommend the device, but recent ecosystem improvements are promising.
