Why Vertical Cloud?

Cost-Efficient Compute for AI at Scale

1. The cost problem with today’s cloud

Renting powerful GPUs from Amazon Web Services or Google Cloud is convenient—they scale your resources automatically and keep everything running. But that convenience comes at a price: hourly rates are often 40‑50 % higher than what you would pay decentralized GPU marketplaces or networks.

2. The DIY headache of decentralized GPUs

Decentralized GPU networks (think of them as Airbnb for graphics cards) can be much cheaper, but you have to:

• Hunt for available machines that match your spec

• Handle sudden disconnects or slow nodes

• Manually juggle jobs across multiple providers

For most teams, the management overhead erases the savings.

3. Vertical Cloud = Best of both worlds

Vertical Cloud is a smart orchestration layer that sits on top of several partnered decentralized GPU networks and turns them into one elastic pool that looks and behaves like a traditional cloud.

• Auto‑scaling – GPUs spin up when your workload spikes and de-lease one it decreases

• Intelligent load‑balancing – tasks are routed to the best available GPUs so training finishes sooner

• Pay‑as‑you‑go – only pay for the seconds you actually use, just like AWS or GCP

4. What you get

Feature	AWS & GCP	Vertical Cloud
Elastic Scaling	✅	✅
Global reliability	✅	✅
Brand Premium	✅	❌
Typical Hourly Price (A100 80GB)	US $4.10	US $2.25
Average saving	-	45%

5. A quick analogy

"Vertical Cloud is like a ride‑sharing app for GPUs"

It automatically finds the nearest, cheapest, and most reliable “ride” for your workload—so you get to your destination faster and for less money, without caring which car (network) picks you up.