NCP-AII Question 54
Single answerYou are tasked with designing a data center network for a high-performance AI workload that requires low latency, high bandwidth, and efficient server-to-server communication. Which of the following network topologies would be the most appropriate to meet these requirements?
- A
Spine-Leaf topology
- B
Bus topology
- C
Ring topology
- D
Star topology
Show answer and explanation
Correct answer: A
Explanation
The Spine-Leaf topology is the industry standard for modern data centers, particularly those supporting AI workloads. It is designed to provide high performance, low latency, and scalability, which are critical for handling the massive data and computational demands of AI applications. Unlike older topologies like bus, ring, or star, Spine-Leaf ensures that all servers are equidistant and can communicate efficiently without bottlenecks.
- A. Correct.
Spine-Leaf topology is the most suitable option for modern data centers, especially for AI workloads. It ensures low latency, high bandwidth, and efficient server-to-server communication due to its non-blocking architecture and scalable design.
- B. Incorrect.
Bus topology is an outdated design and not suitable for modern data centers. It suffers from bandwidth limitations and high latency as all communication happens over a single shared backbone.
- C. Incorrect.
Ring topology is also outdated and does not meet the scalability or low-latency requirements of modern data center networks. In a ring topology, any disruption in the network can cause significant downtime.
- D. Incorrect.
Star topology is not practical for large-scale data centers because it heavily relies on a central hub, which can become a bottleneck and a single point of failure.