AI & Deep Learning Oriented

Product Overview

This 5U Rackmount Dual Intel GPU Server is specially optimized for artificial intelligence, deep learning, and large-model training scenarios. It takes high-speed computing, large GPU expansion, and low-latency data interaction as core advantages, providing stable and powerful hardware support for AI algorithm research, model training, and intelligent computing services.

1. CPU Platform for AI Computing

• Dual Intel Xeon processors provide strong general computing support, coordinating multi-GPU collaborative work and improving the efficiency of distributed training.
• High-speed interconnection between CPUs reduces communication delay, making data transmission between processors more efficient during parallel computing.
• With excellent compatibility with AI frameworks such as TensorFlow, PyTorch, and Caffe, it reduces environment construction difficulty and improves development efficiency.

2. GPU Cluster & High-Speed Transmission

• Supports multiple high-performance computing GPUs, providing powerful floating-point computing and tensor computing capabilities for AI model training.
• PCIe 5.0 high-speed interface ensures that each GPU can give full play to performance without bandwidth bottlenecks.
• Supports high-speed interconnection technologies between cards to accelerate data exchange in multi-GPU scenarios and improve training convergence speed.

3. Large Memory for Large Models

• Ultra-large capacity DDR5 ECC memory supports the loading and operation of ultra-large-scale AI models, reducing memory overflow risks.
• High-bandwidth memory architecture accelerates data interaction between memory and GPUs, improving real-time performance of model reasoning.
• Error correction function ensures data accuracy during long-term training and avoids calculation errors caused by memory problems.

4. Heat Dissipation for Long-Time Training

• High-airflow heat dissipation system keeps the temperature stable even under full-load GPU operation, avoiding frequency reduction due to overheating.
• Intelligent temperature control reduces energy consumption and noise while ensuring heat dissipation, adapting to laboratory and data center environments.
• Independent heat dissipation channels for CPUs and GPUs prevent mutual temperature interference and improve overall stability.

5. Application in AI Industry

• Suitable for large language model training, computer vision algorithm research, natural language processing, and intelligent voice systems.
• Applied to intelligent driving perception model training, medical image analysis, and industrial defect detection AI systems.
• Provides stable reasoning services for AI cloud platforms, supporting high-concurrency intelligent application access.