Same Hardware.
Up to 50% Off.

Spot instances let you rent GPUs at a discount by using idle capacity in our data center network. They run on the same hardware as dedicated instances but cost up to 50% less. Both spot and dedicated are on-demand tiers with per-minute billing. The tradeoff: spot instances can be terminated when demand for that GPU model increases, whereas dedicated instances carry a 99.99% SLA.

Savings vary by GPU model and current demand. Typical discounts range from 20% to 50% off the dedicated rate. Check the pricing page for current spot rates on each GPU model.

Spot instances can be terminated when demand for that capacity is reclaimed. There is no grace period, so design your pipeline with regular checkpointing. Save progress frequently, and restarts pick up from the last checkpoint.

Any workload that handles interruption gracefully: hyperparameter searches, data preprocessing, model evaluation, batch inference, and research experiments. If you can checkpoint and restart, you can save money with spot.

Yes. Both are on-demand tiers, so you can mix them freely. Many teams run critical training jobs on dedicated instances (99.99% SLA) while offloading evaluation, preprocessing, and experimental runs to spot. This hybrid approach gives you reliability where it counts and savings everywhere else.