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Ardelva

Open enterprise AI platform

Ardelva

Solution as a Generated Service.

An open enterprise AI platform. Privately deployed. Under your control.

Talk to usSee how it works
  • Commodity GPUs
  • Recompiled Ethernet
  • Signed-off tok/s
ETHGPUGPUGPUETHGPUtok/sGPUETHETHCLUSTER / PRIVATERECOMPILED FABRIC

Product

The platform, stated plainly.

Five properties. No invented scores, no borrowed logos — just the constraints an enterprise platform has to get right.

  • 01

    Open platform

    An open enterprise AI platform you can inspect, extend, and operate. The control plane is yours to read — not a sealed appliance you have to take on faith.

  • 02

    Privately deployed. Under your control.

    The stack runs inside your boundary. You decide where inference lives, who can reach it, and what — if anything — leaves the environment.

  • 03

    Commodity GPUs

    Designed for accelerators you can actually procure and schedule. Standard GPUs, standard racks — not a locked hardware SKU.

  • 04

    Recompiled Ethernet

    The fabric is part of the generated service. Ethernet paths are compiled for the workload instead of being bolted on after the model is already running.

  • 05

    Signed-off tok/s

    Throughput is something operators can review and accept: attributable tokens-per-second on infrastructure you own, not a number from a shared tenant.

Deploy

How a solution becomes a service on your infrastructure.

Generate the service, then run it where you already operate — commodity GPUs, Ethernet you compile for the job, tok/s you sign off yourself.

  1. 01

    Specify the service

    Describe the model family, serving shape, latency envelope, and the cluster it will run on — including GPU mix and network constraints.

  2. 02

    Generate the solution

    Ardelva compiles a deployable service: runtime, networking, and operational surface as an artifact for your environment — not a seat on a multi-tenant SaaS.

  3. 03

    Deploy on your infrastructure

    Install inside the customer boundary. Your GPUs, your Ethernet, your identity and network policy. Nothing in this step requires giving up the cluster.

  4. 04

    Sign off and operate

    Validate tok/s and health on your terms. You keep the keys, the logs, and the right to change or replace any layer of the system.

CUSTOMER BOUNDARYYOUR INFRASTRUCTUREArdelvaGeneratedserviceYOUR KEYSYOUR LOGSRECOMPILED ETHERNET

Why

Private deployment is ownership, not a hosting option.

If the platform is generated as a service, the customer should be able to point at every layer and say: this runs here, under our control.

  • Your cluster, your boundary

    Private deployment means the service is generated for infrastructure you already operate. Traffic stays on paths you define.

  • Ownership is not a setting

    You hold the artifacts, the configuration, and the operational record. The platform does not need a standing copy of your workload.

  • Open enough to audit

    An open platform is one your security and platform teams can inspect. No sealed control plane between you and the GPUs.

  • Accept throughput in writing

    Signed-off tok/s is an operational practice: measure on your metal, review the number, then accept it. You are not asked to trust a brochure.