Compare spot prices with on-demand rates
| Feature | Instance Type | On-Demand | Spot Price | Savings |
|---|---|---|---|---|
| gp.small | gp.small | ₹350 | ₹52/mo | 85% |
| gp.medium | gp.medium | ₹700 | ₹105/mo | 85% |
| gp.large | gp.large | ₹1,400 | ₹210/mo | 85% |
| gp.xlarge | gp.xlarge | ₹2,800 | ₹420/mo | 85% |
| gp.2xlarge | gp.2xlarge | ₹5,600 | ₹840/mo | 85% |
| co.large | co.large | ₹1,200 | ₹180/mo | 85% |
| co.xlarge | co.xlarge | ₹2,400 | ₹360/mo | 85% |
| mo.xlarge | mo.xlarge | ₹3,600 | ₹540/mo | 85% |
| gpu.t4.1x | gpu.t4.1x | ₹25/hr | ₹7.5/hr | 70% |
| gpu.a100.1x | gpu.a100.1x | ₹75/hr | ₹22.5/hr | 70% |
Specify your instance type and maximum price you're willing to pay.
Specify your instance type and maximum price you're willing to pay.
When capacity is available and spot price is below your max, instance starts.
When capacity is available and spot price is below your max, instance starts.
Use the instance just like any on-demand instance.
Use the instance just like any on-demand instance.
Get 2-minute warning via metadata service. Save state and gracefully terminate.
Get 2-minute warning via metadata service. Save state and gracefully terminate.
Access spare compute capacity at a fraction of on-demand prices.
Get notified 2 minutes before termination to save your work.
Identical hardware and performance as on-demand instances.
Handle interruptions gracefully with metadata service and webhooks.
Process large datasets with parallelizable workloads that can checkpoint progress
Run build and test jobs that can be retried on interruption
Apache Spark, Hadoop, and other distributed computing frameworks
Train models with checkpointing for fault tolerance
Transcode video files in parallel chunks that can be reprocessed
Stateless crawling jobs that can resume from where they left off