Fine-tuning, without the waitlist.
Short-duration jobs. Burst capacity on demand. Per-second billing. Tune LoRAs, adapters, or full models the moment your data is ready — then hand the GPUs back.
Adaptation is a sprint. Price it like one.
Instant burst capacity
LoRA sweeps and hyperparameter grids that need 100 nodes for three hours — reserved in minutes, gone by lunch.
Per-second billing
Stop paying for setup and teardown. You're billed for the second you hold the silicon, nothing more.
RLHF pipelines
Reference, policy, and reward models colocated on the same fabric, with low-latency generation for rollout loops.
Private data
Your weights and datasets stay on your tenant's metal. Confidential compute available for regulated data.
Dataset-native I/O
Stream directly from our high-speed storage with shuffling and sharding handled by the platform.
One-click evals
Run your eval harness against checkpoints before you ever download them. Keep the winner, delete the rest.
From checkpoint to fine-tune in minutes.
- Pull a base model from the public hub or your private registry
- Attach your dataset from object storage or the parallel filesystem
- Launch LoRA or full fine-tune on H100–B300 nodes, scaled to your budget
- Run evals on a small pool, promote the best checkpoint
- Deploy to inference with the same artifacts
Ready to push the frontier?
Provision bare-metal GPUs in minutes, scale capacity on demand, and get a real engineer on call — not a ticket queue.