New • Control plane for shared GPUs

The control plane
for shared GPUs.

Safely schedule, govern, and monetize GPU workloads across shared servers for AI, 3D rendering, research, and enterprise compute.

Customer-owned infrastructureSlot-based GPU accessMulti-tenant safe by design

Cluster OverviewLive · 3 nodes

GPU utilization

72%

Seats in current slot

5 / 8

Running jobs113 AI · 6 3D · 2 batch

Queued jobs7Fair slot scheduling

Jupyter sessions4Students and teams

GPU minutes today18430Active time only

Minutes count only while GPU is active.Governance built in →

GPU control without giving up control

GPUPlane sits above your GPU servers and enforces time-based slots, quotas, and governance while you keep full ownership of your infrastructure.