AI Access Platform · GPU and neocloud providers · Fiber operators

The compute is landing. The road to it is not built.

One access layer connects every GPU cloud to every enterprise that wants to use it. The same platform from both ends, and a different deal depending on which end you own.

Global Connectivity Awards 2026 · Winner

Endless options. Whatever comes next, the AI Access Platform will carry it.

Same platform. Two different deals.

A GPU provider buys an on-ramp it can sell under its own name. An operator runs that on-ramp as a wholesale product, and every provider on it becomes a customer. The layer is being claimed either way. Pick the one that describes you.

What the market already prices

Compute The GPU hour, on demand against spot 60% off Commoditizing
Network VPC, NAT gateway, egress, data transfer, I/O free Given away
On-ramp A private 100G port, every month Five figures No discount

Compute discounts. The on-ramp does not.

Published neocloud price lists, September 2026.

You own the GPUs

Hyperscaler-grade access to your GPUs, under your brand.

  • 01Win the enterprise workloads you lose today on connectivity alone. The GPUs are bought and paid for. The road to them decides how many of their hours you ever sell.
  • 02A private gVPC per customer, provisioned in minutes. One on-ramp reaches any cloud, any data center, any site and the internet, instead of a networking project per account.
  • 03Your brand end to end, your engineers still on GPUs. Every screen, API response and invoice carries your name. The networking is not your project and never becomes one.
See the GPU and neocloud platform

For GPUaaS and neocloud providers

You own the fiber

Turn your fiber into the on-ramp every GPU cloud sells through.

  • 01One access layer, run as your wholesale product. Each GPU and neocloud provider joins it with its own brand, its own portal and its own customers. Yours is the only layer they all share.
  • 02Recurring access revenue on ports you already own. The margin thickens with each provider, because the second one is an onboarding and not a build.
  • 03The access layer alone, on your network, live within 90 days. No catalog, no capex program, no rip and replace. What is deliberately out of scope is what keeps the number small.
See the fiber operator deal

For fiber operators and carriers

The vocabulary

The same layer, under four different names.

Whichever end of the road you own, these are the words the market has settled on. Here is what each one means here.

What is an AI access platform?

An AI access platform is the connectivity layer between GPU compute and the enterprises that buy it. It gives every customer a private path to any cloud, any data center, any site and the internet, provisioned in minutes, instead of a networking project per account.

What is neocloud connectivity?

Neocloud connectivity is how a GPU cloud gets its customers onto its compute privately, without their training data crossing the public internet. The on-ramp is sold under the provider’s own brand, so the enterprise never deals with a third party. That is the deal GPU and neocloud providers take.

What is an AI on-ramp?

An AI on-ramp is the private entry point an enterprise uses to reach the GPUs it rents. One on-ramp reaches every cloud, data center and site it already runs, so a workload moves without a new circuit each time. Fiber operators can run that on-ramp for a whole market as a wholesale product.

What is a gVPC?

A gVPC is a global virtual private cloud, one per customer. It carries that customer’s traffic between its own sites, its clouds and the GPUs it rents, isolated from every other customer sharing the same platform.

THE STRATEGIC FRAME

BLOG

Who owns the on-ramp to intelligence?

Eli Karpilovski, Founder and CEO

Public clouds did not win enterprise workloads on processors alone. They won on reach and operability: private connectivity in major metros, a consistent interface and a common way to consume networking, storage and identity. When AWS launched Direct Connect, it looked like a useful feature. It became part of the moat.

The same shift is beginning around AI infrastructure. Capacity now lives across hyperscale regions, GPU clouds, colocation halls and private clusters, and demand arrives in bursts.

CAPACITY DEMAND ARRIVES IN BURSTS HYPERSCALE REGIONS GPU CLOUDS COLOCATION HALLS PRIVATE CLUSTERS WHO OWNS THE ON-RAMP?

The question behind this product is the strategic one: who owns the on-ramp? Providers that cannot expose their own and their partners' assets through a common, programmable model risk becoming interchangeable suppliers beneath someone else's customer relationship.

Read the blog