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Raspberry Pi 5 gets LLM smarts with AI HAT+ 2

The AI HAT+ 2 offers 40 TOPS INT4 inference performance with 8 GB RAM to locally accelerate large language models and generative AI on the Raspberry Pi 5 platform.

  • On launch, Raspberry Pi introduced the AI HAT+ 2 built around the Hailo-10H neural network accelerator to enable on-device inference for LLMs and generative AI.
  • At launch, Raspberry Pi said DeepSeek-R10-Distill, Llama3.2 and Qwen2 family models will be available, mostly 1.5-billion-parameter, framing the HAT+ 2 for local inference use.
  • The board plugs into the Pi 5 via GPIO connector and PCIe interface; it includes an optional passive heatsink, spacers and screws for active cooler fitting, and requires fresh Raspberry Pi OS with Docker and hailo-ollama, while rpicam-apps supports the hardware natively.
  • The AI HAT+ 2 increases on-device inference performance relative to the earlier AI HAT+, but Raspberry Pi acknowledged 8 GB onboard RAM may limit memory-hungry AI workloads and thermal constraints persist.
  • By comparison, cloud LLMs start at about 500 billion parameters, and Raspberry Pi said users can specify a Pi 5 with 16 GB RAM amid thermal trade-offs, raising questions about target users.
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A new additional board (HAT) is equipping an AI accelerator on the Raspberry Pi 5, which can finally also run some generative AI models. This is made possible by the chip Hailo-10H and some main memory. Anyone who wanted to teach Raspbery Pi some artificial intelligence could so far use the AI HAT+. On it either the AI chip Hailo-8 or the Hailo-8L worked.

About a year ago, the Raspberry Pi Foundation released the AI HAT+, an expansion for the Raspberry Pi 5 focused on image recognition using neural networks. Now, they're following up with the AI... Read the article: Raspberry Pi AI HAT+ 2: Generative AI on the Raspberry Pi 5

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CNX Software - Embedded Systems News broke the news in on Thursday, January 15, 2026.
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