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On-Demand GPU Instances,
Launched in Seconds

Designed for rapid prototyping and elastic scaling, where reliability is earned through a proof-first trust model.

WHO ON-DEMAND IS FOR

Speed without Commitment

Features

Prototype & Iterate

Prototyping teams that need fast iteration without long procurement cycles.

Elastic Inference

Inference and platform teams that need elastic bursts with operational consistency.

Pre-Reservation Validation

Teams validating performance and stability before choosing 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
Vertical glass rectangle with a gold stylized logo and the word Z PLATFORM written vertically in black, surrounded by small transparent cubes casting shadows.
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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 constraint? Route through sales
RELIABILITY AND PROOF POSTURE

Reliability You Can Plan On

99.9% Uptime SLA Target
Reliability tracked against defined uptime criteria.
Proof-first Reliability
Definitions and artifacts, not marketing language.
Seamless Communication
Effortless collaboration within your team.
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.

Bring Constraints. Get a Plan that Can Survive Procurement