Benchmark the customer workload before selecting hardware
INFRASTRUCTURE
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.
P0 · concept validationControl substitutions through an approved BOM
Deliver a reproducible golden image and recovery baseline
COMPONENTS
Components
- Approved compute BOM
- Industrial I/O and networking
- Golden image
- Device agent
INTEGRATION
Integration
- Camera and sensor I/O
- PLC and MES
- Factory network and security
- DeviceOps
DELIVERABLES
Deliverables
- Workload benchmark
- Approved BOM
- Golden image
- Burn-in and FAT results
VALIDATION ITEMS
What must be validated before specifications
Performance, specifications and schedule are confirmed only after validating the actual samples and site conditions.
- 01Model and input resolution
- 02Takt time and latency
- 03Thermal and power
- 04I/O and network
- 05Supply and warranty terms
RELATED
Related solutions
Validate compute, I/O, thermal, security and trade compliance rather than selling GPU specifications alone.
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Private AI factory infrastructure
Builds on-premises GPU infrastructure around workload, network, storage, security and operating-runbook requirements rather than hardware count alone.
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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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Validate feasibility with actual samples and site conditions
Product status and specifications are stated in the proposal based on validation and supply conditions.