Vertical Cloud

Cost-Efficient Compute for AI at Scale

The Vertical Cloud

The Vertical Cloud is a first-of-its-kind orchestration layer that unifies GPUs from multiple partnered decentralized networks into a single, elastic pool. It automatically leases and scales and it balances compute loads so your training, inference and hosting of AI models run smoothly whilst minimizing costs.

Early benchmarks show savings of up to 45% compared with traditional cloud providers, with no compromise on performance or reliability and you only pay for what you use at Vertical Cloud.

How it works

1

Decentralized Compute Pooling: Vertical Cloud aggregates GPUs from our ecosystem of decentralized compute partners into a single, shared pool.

2

Autoscaling GPU Power: Our orchestration layer automatically leases, scales and releases nodes across partner networks based on real-time demand, performance and pricing.

3

Intelligent Load Balancing: AI workloads are distributed intelligently across available GPUs to maximize throughput, minimize latency and ensure reliable performance for training, inference and deployment.

4

Platform-Powered & SDK-Ready: Besides powering the AI services across Vertical Studio and Vertical Stream, developers will be able to integrate the Vertical Cloud directly into their own products through our SDK.

Why it matters

First-of-Its-Kind Decentralized compute has always been affordable, but never scalable, until now. Vertical Cloud is the first solution to automatically scale and load-balance AI workloads across decentralized GPU networks. What used to require manual setup and fixed capacity is now flexible, efficient and ready for at scale application.

Radical Cost Savings High compute costs are one of the biggest barriers to AI adoption. Vertical Cloud breaks that barrier by cutting costs by up to 75 percent, freeing up budget for faster iteration and more value-adding activities.

Available Through SDK Vertical Cloud powers our own AI services, but it doesn’t stop there. Developers will be able to integrate this infrastructure directly through our SDK, extending its benefits beyond our own AI services.