google-coral/coralnpu

Health v2 · maintenance only

Adoption not part of the score

2526 stars · 325 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Coral NPU is an open-source neural processing unit (NPU) hardware IP core from Google Research, built on the 32-bit RISC-V ISA with matrix, vector, and scalar processors for energy-efficient ML inference. It is designed for integration into ultra-low-power SoCs targeting wearables like hearables, AR glasses, and smartwatches, and includes RTL, simulators, and test suites.

Use cases

• integrate an NPU into a low-power SoC for wearables
• run on-device ML inference on AR glasses or smartwatches
• simulate RISC-V based ML accelerator RTL with Verilator
• verify accelerator design with cocotb and UVM testbenches
• build energy-efficient edge AI hardware
• compile and run ML kernels on a RISC-V vector processor

When to choose

• you are designing an ultra-low-power SoC and need licensable open-source NPU IP
• you want a RISC-V based ML accelerator you can customize and verify yourself
• you target wearables or edge devices where energy efficiency is critical

When to avoid

• you need a ready-made USB accelerator or finished consumer product rather than IP to integrate
• you lack hardware/RTL design resources for SoC integration and verification
• you need large-scale cloud or datacenter ML acceleration

Facets

library · maturity active

machine-learning llm-inference embedded simulation testing machine-learning embedded-systems hardware gpu-computing embedded iot cpp python npu risc-v rtl hardware-ip edge-ai verilator soc-integration wearables open-source-hardware

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markdown · JSON · MCP: product_card(name="google-coral/coralnpu")