A modular private engineering AI appliance designed to preserve, search, analyze, and apply an organization's technical knowledge without requiring proprietary engineering information to leave the facility.
Your engineering knowledge. Your AI. Your building.
The AI Matrix is being redefined around a more useful goal than raw supercomputer FLOPS: a physically owned engineering intelligence platform for companies that need AI capability without surrendering control of their intellectual property.
A high-performance accelerator in the base handles model execution, vector/matrix workloads, and supervisory AI functions.
Replaceable modules handle retrieval, preprocessing, indexing, engineering agents, simulation management, local services, and distributed workloads.
High-capacity solid-state storage places engineering data close to compute resources and avoids the mechanical failure modes and random-I/O limitations of spinning disks.
NVMe SSDs eliminate spindle motors, bearings, actuator arms, and moving read/write heads. That removes major mechanical wear and vibration-related failure modes in a tall, fan-cooled architecture containing many drives.
Vector databases, indexing, retrieval, file searches, and concurrent AI agents generate heavy random access. NVMe provides far lower latency and dramatically higher IOPS than conventional hard disks.
Enterprise NVMe devices would be selected according to endurance requirements. Mechanical disks, if used at all, are better positioned as secondary archival or backup storage outside the active compute fabric.
| Modules per layer | 54 |
|---|---|
| Compute layers | 10 |
| Full module capacity | 540 |
| Approx. flat-to-flat | 35.1 in / 892 mm |
| Approx. point-to-point | 40.6 in / 1,030 mm |
| Compute-stack height | 59.1 in / 1,500 mm |
| Equipment base | Approx. 12 in / 305 mm |
| Cooling | Bottom-to-top airflow with upper negative-pressure fan plenum |
| Primary distributed power concept | 24 V with protected distribution zones and local point-of-load conversion |
Partially populated Matrix for smaller engineering groups, private knowledge retrieval, and local AI services.
Expanded compute and NVMe population for more simultaneous engineering agents, larger knowledge repositories, and heavier local workloads.
Up to 540 modules with the maximum mechanical compute and storage envelope, subject to final processor, power, and thermal configuration.
The Matrix should not be permanently tied to one processor. IDE Solutions can define the mechanical envelope, 24 V interface, network fabric, management interface, storage interface, thermal envelope, and backplane connector while allowing the processor piggyback to evolve independently.
White paper: HexaScale Private Engineering AI Appliance — Rev A