When it comes to high-performance computing, especially in areas like deep learning and scientific simulations, the choice of GPU and its connection interface is vital. Two of the most prominent names in this space are NVIDIA’s H100 and A100 GPU cards, known for their high performance and efficient processing capabilities.
But how do these cards connect to the system, and what’s the difference between using SXM (NVIDIA’s NVLink Socket) or PCI-E (Peripheral Component Interconnect Express)? Let’s dive into the intricate details and explore the difference between these two connections for the high-end H100 and A100 cards.
Choosing between SXM and PCI-E is not merely a technical decision; it is a strategic choice that can influence the entire computational workflow. SXM is typically the choice for those seeking the cutting edge in performance, ideal for environments where speed and data throughput are paramount. In contrast, PCI-E offers a more accessible and versatile option, suitable for a broader range of applications.
