OpenG2G¶
GPU-to-Grid Simulation under LLM Workloads
A modular Python framework for studying how GPU-level controls affect distribution-level voltages.
Datacenter Backends
Trace-replay from real GPU benchmarks, or live GPU power via Zeus
Grid Backends
AC power flow on IEEE test feeders via OpenDSS, with tap control and sensitivity estimation
Controllers
Ships with OFO batch optimization and tap scheduling; subclass to write your own
Multi-Rate Coordinator
Compose components at different timesteps into a single simulation