This diagram compares two GPU networking technologies: NVLink and InfiniBand, both essential for parallel computing expansion.
On the left side, the “NVLink” section shows multiple GPUs connected vertically through purple interconnect bars. This represents the “Scale UP” approach, where GPUs are vertically scaled within a single system for tight integration.
On the right side, the “InfiniBand” section demonstrates how multiple server nodes connect through an InfiniBand network. This illustrates the “Scale Out” approach, where computing power expands horizontally across multiple independent systems.
Both technologies share the common goal of expanding parallel processing capabilities, but they do so in different architectural approaches. NVLink focuses on high-speed, direct connections between GPUs in a single system, while InfiniBand specializes in networking across multiple systems to support distributed computing environments.
The optimization of these expansion configurations is crucial for maximizing performance in high-performance computing, AI training, and other compute-intensive applications. System architects must carefully consider workload characteristics, data movement patterns, and scaling requirements when choosing between these technologies or determining how to best implement them together in hybrid configurations.
With Claude
Lechuck Park 