All the Power of a GPU Server. None of the Ops.
Everything you need to train models — accessed the way you already work.
Access Your Way
SSH, VSCode Remote, or Jupyter — your choice. Connect how you're used to.
Docker Just Works
Build images, run containers, mount volumes. Your workflow, unchanged.
VM-Like Environment
Full root access. Persistent storage. A GPU environment you actually control.
Break Things Freely
Isolated environment. One-click reset when dependencies go wrong.
Serverless GPU Queue
Like Slurm, but instant. No time slots. No waiting.
Pay Only When Running
Stop the instance, stop the bill. Scale down to zero.
Credit-Based Quota. No More Time Slots.
Stop booking 8-hour blocks when you only need 2. Use exactly what you need, when you need it.
Traditional Time-Based Quota
Credit-Based Quota
Serverless GPU: Slurm for the Modern Era
The queue system you know, rebuilt for instant provisioning. Submit jobs, get GPUs, no waiting.
Traditional Slurm
Float16 Serverless GPU
MIG: One GPU, Seven Hardware-Isolated Instances
Multi-Instance GPU splits a single H100 into up to 7 fully isolated instances at the hardware level. Each instance has dedicated compute, memory, and cache — no noisy neighbors.
One H100 can now serve 7 team members simultaneously. Seniors get full power when needed, juniors get dedicated instances to learn and experiment — no more waiting for GPU availability.