Sovereign private GPU cloud platform. Slices physical GPUs into 4–8 isolated, 60 FPS in-browser AI workstations streaming full graphical Linux desktops directly to any web browser with persistent storage.
One queue in front of cloud, lab, and free-tier GPU capacity, scheduled under a shared dollar budget
Predictive preemption engine monitoring active UI and audio telemetry at 10Hz to forecast LLM prompts. Speculatively streams KV cache snapshots to local inference servers while dynamically throttling background workloads via CUDA MPS or OS level process priority.
To associate your repository with the cuda-mps topic, visit your repo's landing page and select "manage topics."