Industrial edge computers and servers on a factory network.

E · INFRASTRUCTURE

AI Infrastructure & Trade

Validate compute, I/O, thermal, security and trade compliance rather than selling GPU specifications alone.

01

PROBLEM

Factory challenge

GPU specifications do not prove takt, I/O, thermal, supply or warranty fitness.

02

APPROACH

OPTO approach

Package benchmarks, approved BOM, Golden Image, FAT, DeviceOps and trade conditions.

PERFORMANCE · target metrics

1~8 GPU nodes Edge ~ Private AI Factory
FAT Verified shipment Golden Image included
SLA Operational ownership DeviceOps · OTA
HS/ECCN Trade compliance Export license · customs

※ Figures are planning assumptions, agreed per sample and site conditions via PoC gates.

Lifecycle Pipeline

From benchmark to operation — a verified AI runtime

We benchmark workloads with your models, then ship through approved BOM, Golden Image and FAT, and operate with DeviceOps.

  1. 01 · BENCHMARK

    Workload benchmark

    Pre-validate performance, thermal and power with your models and data paths.

  2. 02 · CONFIGURE

    Configure (approved BOM)

    Lock CPU/GPU, thermal/power and storage into an approved BOM.

  3. 03 · INTEGRATE

    Integrate

    Validate sensors, I/O, network and security together.

  4. 04 · DEPLOY

    Deploy (Golden Image · FAT)

    Ship reproducibly with a standard image and FAT.

  5. 05 · OPERATE

    Operate (DeviceOps)

    Run assets with OTA, SBOM, audit and SLA.

SOLUTIONS

Representative solutions

Predictable delivery and operations based on approved BOM and Golden Image

Industrial edge computers and network devices installed on a factory floor
InfrastructureP0 · concept validation

EdgeBox AI

Validated real-time industrial AI node

Packages compute, I/O, thermal, power and software into an approved configuration matched to a specific factory workload.

Learn more
GPU servers and network equipment installed in a rack beside a manufacturing facility
InfrastructureConcept · validation required

FactoryGPU

Private AI factory infrastructure

Builds on-premises GPU infrastructure around workload, network, storage, security and operating-runbook requirements rather than hardware count alone.

Learn more
An operations center monitoring multiple factory devices and servers
InfrastructureP0 · concept validation

DeviceOps

Assets, OTA, rollback, SBOM and SLA operations

Manages the asset, version, deployment, patch, recovery and audit history of factory edge devices and software.

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Why our AI Infra

Not hardware, but a verified AI runtime

We don't just sell compute. We validate workloads with your vision/AI models and make data paths, security and trade compliance hold together at delivery.

  • Workload benchmark with your models
  • Reproducibility via Golden Image & FAT
  • DeviceOps & SLA operational ownership
  • Delivery accountable through export & customs

AI Infra Stack

AI infrastructure stack

Compute
Edge GPU nodesServers · workstationsThermal/power designStorage
Software
AI runtimeContainersDeviceOpsPolicy engine
Ops · Security
OTA · rollbackSBOMAudit logsZero-trust
Trade
HS/ECCNOriginExport licenseCustoms · warranty

PROOF & DELIVERABLES

Verification deliverables that remain

Acceptance is based on the documents, data and procedures needed for approval and operation.

  1. 01Workload benchmark
  2. 02Approved BOM and substitution policy
  3. 03Golden image
  4. 04FAT and burn-in results
  5. 05SBOM and operating runbook

INTEGRATION

Integration scope

  • Camera and sensor I/O
  • PLC and MES
  • Factory network and security
  • Storage and backup
  • Asset and OTA systems

INDUSTRIES

Priority industries

INFRASTRUCTURE

Design a verification path for your site

Specifications and performance are agreed through sample and site-specific PoC gates.

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