A full stack platform for Edge AI from Google
Google's Coral platform provides a full-stack solution for edge AI, offering tools for software and hardware developers to deploy AI models locally.
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Key points
- Coral combines AI-first hardware with unified developer experience
- Supports PyTorch, JAX, and LiteRT models via MLIR compiler
- Offers RISC-V based reference designs for custom silicon
- Ecosystem of partners to bring products to market
Why it matters
This matters because coral combines AI-first hardware with unified developer experience.
Technical impact
May affect model selection, inference cost, product capability, and evaluation benchmarks.
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A full stack platform for Edge AI
By combining an AI-first, standards-based hardware architecture with a unified developer experience, Coral enables efficient and local AI experiences at the edge.
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For software developers
Deploy intelligent models at the edge. Seamlessly bring your PyTorch, JAX, or LiteRT models to any device using our standards-based MLIR compiler toolchains and simulators.
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For hardware developers
Power the next generation of edge devices. Leverage flexible reference designs and our open-source, RISC-V based architecture to bring high-performance, ultra-low power AI to your custom silicon.
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Updates
The latest updates about the Coral platform.
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Partners
A growing ecosystem of partners to help you bring your product to market.
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