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Google Coral

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  • Starting price Contact for pricing
  • Free trial Not offered

What is Google Coral?

Google Coral is a full-stack platform for edge AI, combining an AI-first, standards-based hardware architecture with a unified developer experience to enable efficient, local AI processing at the edge rather than relying on cloud round-trips for every inference. The platform is built for both software and hardware developers working on edge AI products.

For software developers, Coral supports deploying intelligent models directly to any device using its standards-based MLIR compiler toolchains and simulators, letting teams bring existing PyTorch, JAX, or LiteRT models to the edge rather than rebuilding models from scratch for Coral's specific hardware. For hardware developers, Coral offers flexible reference designs built on an open-source, RISC-V based architecture, letting teams bring high-performance, ultra-low power AI directly into their own custom silicon designs.

Coral is developed under Google for Developers, with ongoing platform updates and a growing partner ecosystem to help bring Coral-based products to market. Pricing is not published on the general platform page; Coral hardware (boards, modules and accelerators) is sold through Google's developer hardware channels and partners at prices that vary by product.

Key Features of Google Coral

  • Full-stack edge AI platform (hardware + software)
  • Standards-based MLIR compiler toolchains and simulators
  • PyTorch, JAX and LiteRT model support
  • Open-source, RISC-V based reference architecture
  • Custom silicon design support for hardware developers
  • Ultra-low power AI processing
  • Growing partner ecosystem
  • Backed by Google for Developers

Google Coral Pricing

Google Coral

Contact for pricing

Google Coral Specifications

Public API
No
Free trial
No
Free plan
No
Runs in browser
No
Customisable
No
Website
coral.ai

Google Coral Screenshots

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Google Coral FAQs

Coral is a full-stack edge AI platform combining AI-first hardware architecture with a unified developer experience for efficient, local AI processing at the edge.

Coral supports bringing PyTorch, JAX, or LiteRT models to any device using its standards-based MLIR compiler toolchains.

Yes, hardware developers can use Coral's open-source, RISC-V based reference designs to bring high-performance, ultra-low power AI into custom silicon.

Pricing is not published on the general platform page; Coral hardware is sold through Google's developer hardware channels and partners, with prices varying by product.