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2025
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What is a graphics card module?
Author:
A GPU module is a modular solution that integrates multiple GPUs using specific technologies (such as NVLink). It is primarily used in high-performance computing and artificial intelligence fields.
Definition and Function of GPU Modules
A GPU module (GPU Module) typically refers to an integrated hardware unit composed of multiple GPUs (such as NVIDIA A800) connected via high-speed interconnect technology (such as NVLink). It aims to enhance parallel computing capabilities and data transfer efficiency. Its core features include:
Multi-GPU Interconnect: Integrates 8 GPUs using a backplane or dedicated interface (such as PCIe Gen4) to form a computing cluster. The total memory capacity can reach 640GB (for example, 8 A800 GPUs with 80GB memory each).
High Bandwidth Design: When using NVLink technology, the bidirectional total bandwidth can reach 600GB/s, significantly exceeding single-GPU performance.
Modular Application: Can be flexibly deployed in servers or workstations, suitable for AI training, scientific computing, and other scenarios requiring large-scale parallel processing.
Typical Application Scenarios
GPU modules primarily serve the following fields:
Artificial Intelligence: Supports large model training and inference, such as the development of LLMs based on the Transformer architecture.
High-Performance Computing: Used in weather simulation, gene sequencing, and other scientific research projects requiring double-precision floating-point operations.
Data Centers: Building computing pools to handle high concurrency demands, such as GPU virtualization in cloud computing platforms.
Differences from Single-GPU Cards
The key differences between GPU modules and ordinary independent GPUs (GPU cards) are as follows:
Integration Method: Modules achieve multi-GPU collaboration through hardware interconnection, while single GPUs operate independently.
Management Complexity: Modules require dedicated drivers and scheduling software (such as NVIDIA CUDA), while single GPUs are compatible with general-purpose systems.
Cost and Power Consumption: The total power consumption of a module can exceed 3200W (8 A800 GPUs), far exceeding the 400W of a single GPU.
Alternative Design: Customized for the Chinese market to comply with export control requirements.
Performance Parameters: Supports FP64/FP32 multi-precision calculations, with memory bandwidth up to 2TB/s.
Configuration Flexibility: Supports MIG technology to divide a single GPU into 7 independent instances.
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