Partners

Certainty as a tier you can sell.

Win the regulated workloads your capacity cannot serve today, without adding infrastructure.

The blocker you did not put there

A class of workload stays off your capacity.

Your enterprise tenants will not move regulated traffic to a venue where inspecting all of it is unaffordable or impossible. That is not a decision about your business. It is about what full inspection costs on general-purpose compute.

NOL8 removes that blocker.

Their rule sets grow. Your fleet does not.

Full inspection on general-purpose compute costs you three ways. NOL8 takes all three off the bill.

Zero GPU consumed

Guardrail filter cycles running on GPUs are model capacity spent on overhead. NOL8 runs beside the fleet. The GPUs do the earning.

A fraction of the CPU

List-shaped work occupies large CPU fleets in batch today. One NOL8 engine in place of a large CPU fleet for equivalent software processing, with throughput flat from 1 pattern to 8,000.

No hardware build-out

Software-defined, accelerated by dedicated hardware. No CPU fleet to buy and no footprint to add as coverage grows.

On general-purpose compute, every pattern a tenant adds, and every increase in data volume, costs you cores. On NOL8 one engine runs 1 pattern or 8,000 at the same 8ms P99, so a tenant’s AI growth reaches your infrastructure. That is what makes full inspection something you sell as a differentiated service tier, not a cost you absorb.

What NOL8 does to your offer

Provable control becomes a commercial service tier.

NOL8 gives you three properties you can write into the tier. You are not vouching for any of them. They come from where the layer sits.

Inline

Traffic cannot route around it. Coverage is a property of the venue, not of the tenant’s configuration.

Deterministic

The same input gives the same result every time. An audit question gets a query, not a reconstruction.

Every payload

Not a sample. Every request, at 8ms P99 at the engine, with the tail flat from 1 pattern to 8,000.

Who NOL8 partners with

Inference providers and co-lo

You bring

Capacity, and the tenants on it.

What changes

Enterprise workloads you cannot reach today, and a tier you cannot sell today.

Co-lo and network providers

You bring

The venues and wires that traffic crosses.

What changes

Certainty becomes a property of the venue and the wire, priced per tenant and per circuit.

Fabric and interconnect providers

You bring

The fabric payloads cross between tenants, sites and clouds.

What changes

Inspection becomes a property of the fabric, priced per port and per tenant.

Partners

Become a partner.

Join our growing list of network fabric providers, inference providers and AI factories, and ISVs that benefit from having NOL8 in the data path.

Common questions

No. Guardrail filter cycles running on GPUs are model capacity spent on overhead. NOL8 runs beside the fleet and the GPUs do the earning.

One NOL8 engine in place of a large CPU fleet for equivalent software processing, with throughput flat from 1 pattern to 8,000.

No. NOL8 is software-defined, accelerated by dedicated hardware. There is no CPU fleet to buy and no footprint to add as coverage grows.

Yes. Guardrails judge intent above the plane; NOL8 matches patterns inside it. Tenants keep what they have and gain a control they could not afford before.

NOL8 is priced per deployment and per use case. What the architecture guarantees is that the cost of coverage does not scale with your CPU fleet or with rule set size.