Description

Compact AI workbench supporting up to 3 GPUs on a Micro-ATX motherboard. Ideal for inference systems, ML experimentation, and small compute labs.

The structure provides unrestricted airflow, stable GPU spacing, and easy access to power delivery and riser connections — making it ideal for AI training systems, CUDA development, inference rigs, and lab environments.

— Key Features —
• Supports Micro-ATX motherboards
• Mounting support for up to 3x GPUs
• Optimized spacing for airflow between graphics cards
• Open-frame layout for maximum cooling efficiency
• Stable multi-GPU support structure
• Easy access to PCIe risers and cabling
• Designed for AI workloads, compute nodes, and research builds

— Technical Notes —
The frame is engineered to maintain structural rigidity under multi-GPU load while minimizing obstruction to airflow across GPU heatsinks and power connectors.
Designed for horizontal motherboard installation with elevated GPU mounting for optimal cooling clearance.

Ideal for:
• AI training nodes
• Machine learning rigs
• Deep learning experimentation
• Multi-GPU compute setups

Compatibility:
• Motherboard: Micro-ATX
• Power: ATX PSU (Recommended depth of PSU: 140-160mm)
• Up to 3x GPUs (spacing allows for standard dual-slot cards)
• 1x 2.5″ SSD mount
• 2x 120mm desktop case fans

Materials:
• PETG (recommended for strength and heat resistance)

— Use Cases —
• AI model training systems
• LLM experimentation
• Stable Diffusion rigs
• GPU rendering farms
• Crypto research labs
• Development & hardware testing

— Included Articles —
• Mounting screws (M3 & 6/32 as required)
• Power button
• Frame components

— Disclaimer —
Hardware such as: GPUs, motherboard, PSU, cables, risers, fans, and storage devices are NOT included.
Photos shown are for demonstration purposes only.

Do you have any questions? – Send me a message and I'll answer them asap.

Designed by: Jzon Fabrications Sweden
Manufactured by: Jzon Fabrications Sweden