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Ugreen unveils HomeAgent local-AI hubs for smart-home control

Ugreen launches local-AI smart-home hubs, and TrueSpar open-sources Paddock, a Rust/C++ inference engine beating vLLM in benchmarks.

๐Ÿš€ RELEASES & LAUNCHES

  • Ugreen unveils HomeAgent local-AI hubs for smart-home control
    Ugreen unveiled HomeAgent, a local-AI smart-home platform.

    • Homeowners get local storage, security-camera analysis and Matter-based device control; developers can extend the MA100 with Skills Hub packages.
    • The HA100 and HA100 Pro run AI on-device; the HA100 has 16GB RAM and two storage bays plus a dedicated NVR bay, while the Pro adds 32GB RAM and 10GbE.
    • The developer-focused MasterAgent MA100 uses Nvidia Jetson Thor T5000 hardware with up to 2,070 FP4 TFLOPS.
    • Preorders opened September 3; early-bird prices are $899 for HA100, $2,999 for HA100 Pro and $9,999 for MA100 ahead of a Kickstarter campaign on October 27.
    • HomeAgent keeps supported storage, footage searches, event recognition and device control on the local network instead of requiring monthly cloud storage fees.
    Sources ๐Ÿ“„ Source: ai.ugreen.com ยท ๐Ÿ“Ž Coverage: xda-developers.com ยท ๐Ÿ‘ via The Verge AI
  • TrueSpar open-sources Paddock Rust/C++ inference engine
    TrueSpar open-sourced Paddock, a Rust/C++ LLM inference engine with custom CUDA kernels.

    • For developers and teams running self-hosted LLM inference with GGUF or Safetensors models.
    • Paddock is MIT/Apache-2.0 licensed, ships as one binary with OpenAI- and Anthropic-style APIs, and includes custom CUDA kernels.
    • On one RTX PRO 6000, Paddock reached 1,062 tok/s for Qwen3.8-27B FP8 at 32 clients with 1,024-token input/output, versus 958 for vLLM and 844 for SGLang.
    • Reported benchmarks found Paddock faster than vLLM in 13 of 13 test cells and faster than llama.cpp Q8_0 by 1.5x to 37x, giving builders another open local-inference runtime.
    Sources ๐Ÿ“„ Source: github.com ยท ๐Ÿ“Ž Coverage: truespar.com ยท ๐Ÿ‘ via r/LocalLLaMA

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