Where AI meets silicon.

Discover and publish AI models built for semiconductor engineering.

From RTL code generation and testbench development to verification assistance, architecture exploration and EDA automation — connect specialised AI capabilities with real engineering workflows.

Publish model weights, configurations, evaluation results and version histories through a unified repository interface.

Explore semiconductor datasets built for AI-assisted hardware development.

From Verilog source and verification testbenches to netlists, synthesis reports, circuit descriptions and architecture benchmarks — make engineering data easier to discover, inspect, version and reuse.

Every dataset states its provenance, licence, structure and intended use up front.

Discover the electronic design automation ecosystem in one place.

Explore open-source design tools, verification frameworks, synthesis engines, simulation utilities and physical-design flows — and connect each tool with the chip projects, datasets and research that use it.

Discover semiconductor architectures, open hardware projects and chip designs — processors, AI accelerators, microcontrollers, SoCs and reusable IP, from experimental RTL to documented production silicon.

Every chip deserves an engineering record that connects its architecture, implementation, verification results, software ecosystem and published research.

Explore semiconductor research alongside the models, datasets, tools and chip implementations it describes.

Publish technical papers, document experiments, connect citations and link reproducible design artifacts — bringing AI chip research closer to practical engineering and open collaboration.

Explore specialised AI agents and engineering workflows that connect language models with semiconductor development tools.

From RTL generation and code review to verification planning, synthesis analysis and technical documentation — discover reusable automation for hardware engineering.