3 projects
g2n-enterprise
A platform to optimize AND run PyTorch models: license-gated compiler (enhanced planner, persistent cache, multi-accelerator routing), a quantum circuit simulator with batched parameter sweeps, plus a model registry, inference server, and local LLM runtime (int4 quantization, partial offload, hf:/gguf: sources, streaming generation), on top of open-core g2n.
g2n
Optimize and run PyTorch models: an open-core compiler (fusion, buffer planning, persistent compile cache), a quantum circuit simulator (g2n.quantum), plus a license-gated serving platform that runs your models behind an inference server.
g2n-native
Rust acceleration core for g2n (quantum statevector kernels, token sampling). Optional: g2n falls back to pure torch without it.
