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Buy Compute

The Foundation of the Compute Market

H100 index price

Compute trades in the world’s most opaque market. Ornn makes it something you can price, finance, and hedge with confidence.

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Ornn Compute 

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Ornn Compute 

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Problem

Computeisthemostimportantcommodityofourlifetimes.Yetthemarketoperateslikeoildidacenturyago:nobenchmarkpricing,nohedginginstruments,andnowaytomanagerisk.

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Ornn Compute is the bridge between buyers and sellers of compute

The OCPI tracks live traded spot prices for GPU compute across major hardware types: H100, H200, B200, A100, and more. It's the foundation for pricing, hedging, and settlement across the compute derivatives market.

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Reserve

Dedicated GPU capacity for sustained workloads

Need compute now?
Spin up a GPU instance in minutes

Type

Quantity

Term

Region

Price

B300

32 nodes (256 GPUs)

Sep 25 2026 - Sep 25 2028

Europe

$4.85/GPU-hr

B300

128 nodes (1024 GPUs)

Oct 12 2026 - Oct 12 2029

US Central

$4.40/GPU-hr

B200

128 nodes (1024 GPUs)

Oct 31 2026 - Oct 31 2028

Europe

$4.30/GPU-hr

B200

128 nodes (1024 GPUs)

Oct 31 2026 - Oct 31 2029

US Central

$4.10/GPU-hr

B300

32 nodes (256 GPUs)

Nov 1 2026 - Nov 1 2029

Global

$4.30/GPU-hr

B300

128 nodes (1024 GPUs)

Nov 1 2026 - Nov 1 2029

US West

$4.25/GPU-hr

Reserve

Dedicated GPU capacity for sustained workloads

Need compute now?
Spin up a GPU instance in minutes

Type

Quantity

Term

Region

Price

B300

32 nodes (256 GPUs)

Sep 25 2026 - Sep 25 2028

Europe

$4.85/GPU-hr

B300

128 nodes (1024 GPUs)

Oct 12 2026 - Oct 12 2029

US Central

$4.40/GPU-hr

B200

128 nodes (1024 GPUs)

Oct 31 2026 - Oct 31 2028

Europe

$4.30/GPU-hr

B200

128 nodes (1024 GPUs)

Oct 31 2026 - Oct 31 2029

US Central

$4.10/GPU-hr

B300

32 nodes (256 GPUs)

Nov 1 2026 - Nov 1 2029

Global

$4.30/GPU-hr

B300

128 nodes (1024 GPUs)

Nov 1 2026 - Nov 1 2029

US West

$4.25/GPU-hr

What our clients say

Ang Li, CEO

Simular

“Ornn gave us the flexibility to train ambitiously without locking up our capital, at half the price of a hyperscaler.”

Shubham Gupta, CEO

Terminal

"We do not believe in wasting any GPU cycle. Demand for inference is cyclical. It’s very high during US daytime, lower at night, and extremely low on weekends, and it’s hard to keep utilization perfect through the weekends and weeknights"