On-Demand GPU Instances, Launched in Seconds

For rapid prototyping, elastic inference, and bursts of capacity when you need them.

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WHO ON-DEMAND IS FOR

Speed without Commitment

Prototype & Iterate

Prototyping teams that need fast iteration without long procurement cycles.

Elastic Inference

Inference and platform teams handling traffic spikes and variable load.

Pre-Reservation Validation

Teams testing performance before committing to reserved capacity.

WHAT YOU GET

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

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PRICING AND ALLOCATION EXPECTATIONS

Best Price by Default Location by Requirement

Bid/ask allocation prioritizes best price first
Best price first at time of purchase
Region constraints routed through sales when location is required

On-Demand H100 GPUs from $3.59 / GPU-hour

Published rates are indicative floors. Your exact rate is set at allocation from live bid/ask supply.

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RELIABILITY AND PROOF POSTURE

Reliability You Can Plan On

99.9% Uptime SLA Target

Reliability tracked against defined uptime criteria.

Transparent Reporting

Public status updates and incident timelines.

Clear Definitions

Uptime, recovery, and operational expectations spelled out.

WHEN TO MOVE BEYOND ON-DEMAND

Use On-Demand to Learn Fast Reserve When the Run Cannot be Fragile

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.

Use On-Demand to Learn Fast Reserve When the Run Cannot be Fragile