Elastic Compute, Operated with Enterprise Discipline
- Launch GPU instances in seconds
- Seamlessly scale to 100s of GPUs on demand
- Operate as one cloud across distributed supply
- Standardization, monitoring, and support across providers
Prototyping teams that need fast iteration without long procurement cycles.
Inference and platform teams handling traffic spikes and variable load.
Teams testing performance before committing to reserved capacity.

On-Demand H100 GPUs from $2.51 / GPU-hour
Published rates are indicative floors. Your exact rate is set at allocation from live bid/ask supply.

Reliability tracked against defined uptime criteria.
Public status updates and incident timelines.
Uptime, recovery, and operational expectations spelled out.
Start on-demand to validate performance, stability expectations, and operational fit. Move to reserved clusters when you need predictable capacity for large training and inference runs.
