The AI Access Platform: which end of the road do you own? | InsidePacket

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.

Which end of it do you own?

I own the GPUs GPU and neocloud providers See the platform I own the fiber Fiber operators and carriers See the operator deal

Neither, and you want to see the platform itself? Book a working session

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

Two ways in

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.

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 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 operator deal

For fiber operators and carriers

Not a roadmap

September 2025 In production since

Live on two continents inside a year, in the US and the EU, with a quarterly release cadence since launch.

Minutes Not months

From order to a live private path, self service in the portal or by API, with the same result either way.

5% to 70% The gap that pays for it

Average GPU utilization today, against what a cluster needs to reach before it breaks even.

Utilization: Cast AI, 2026 State of Kubernetes Optimization Report, April 2026, tens of thousands of Kubernetes clusters on AWS, Azure and Google Cloud. Break even: ModulEdge, June 2026, a 1,024 GPU H100 cluster, citing American Compute.

Still not sure which side of it you are on?

Bring the network you own or the GPUs you sell, and one working session is enough to tell you which of the two deals is yours, what it takes and how long it runs.

Book a working session sales@insidepacket.com

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