INSTRUCT L 12 GPU Server

Specifications

• GPU: 12x NVIDIA L40 48GB VRAM (576GB total)
• Motherboard: ASRock Rack ROMED8-2T
• CPU: AMD EPYC 7713
• RAM: 1024GB CT128G4ZFJ426S
• Power Supply: 4x AX1600i 6400W
• Case: Non-standard U8 Rack Mount
• Storage:
  • 4TB NVMe SSD
  • 500GB SATA Drive

Key Features

1. High-Performance Computing: Equipped with 12 powerful NVIDIA L40 GPUs, providing an impressive 576GB of VRAM for intensive AI and machine learning tasks.
2. Server-Grade Components: Features the reliable ASRock Rack ROMED8-2T motherboard and a top-tier AMD EPYC 7713 CPU for exceptional processing power.
3. Massive Memory: 1024GB of high-speed RAM ensures smooth multitasking and efficient data processing for even the most demanding workloads.
4. Robust Power Supply: Quad power supply setup with 4x AX1600i 1600W units, ensuring stable and ample power delivery under heavy loads.
5. Expandable Storage: Comes with a fast 4TB NVMe SSD for primary storage and an additional 500GB SATA drive for extra capacity.
6. Compact Design: Housed in a non-standard U8 rack mount case, optimizing space efficiency while maintaining performance.
7. Scalable Configuration: Supports up to 4 nodes per rack, allowing for impressive computational density and scalability.

Ideal Use Cases

• Deep Learning and AI Model Training
• High-Performance Computing (HPC) Applications
• Large-Scale Data Analysis and Visualization
• Scientific Simulations and Research
• Rendering and 3D Modeling

Special Notes

• Non-Standard Case: This server utilizes a custom U8 case, providing a more compact form factor compared to traditional server cases. This design allows for improved space efficiency in data centers and server rooms.
• Multi-Node Configuration: The rack design supports up to 4 nodes per rack, enabling a highly dense and powerful computing cluster. This configuration is ideal for organizations requiring massive parallel processing capabilities or looking to maximize computational power per square foot.

This INSTRUCT12 GPU Server is the ultimate solution for organizations and researchers requiring extreme computational power in a space-efficient design. With its massive GPU capacity, server-grade components, and the ability to house up to 4 nodes per rack, it's built to tackle the most complex calculations and data processing tasks while optimizing data center space utilization.