NCA-AIIO · Question #20
When should RoCE be considered to enhance network performance in a multi-node AI computing environment?
The correct answer is C. A network that cannot utilize the full available bandwidth due to high CPU utilization. RoCE (RDMA over Converged Ethernet) enhances network performance by offloading data transport to the NIC via RDMA, bypassing CPU involvement. It's particularly valuable when high CPU utilization limits bandwidth usage, as it reduces overhead and unlocks full link capacity…
Question
When should RoCE be considered to enhance network performance in a multi-node AI computing environment?
Options
- AA network that experiences a high packet loss rate (PLR).
- BA network with large amounts of storage traffic.
- CA network that cannot utilize the full available bandwidth due to high CPU utilization.
How the community answered
(40 responses)- A8% (3)
- B20% (8)
- C73% (29)
Explanation
RoCE (RDMA over Converged Ethernet) enhances network performance by offloading data transport to the NIC via RDMA, bypassing CPU involvement. It's particularly valuable when high CPU utilization limits bandwidth usage, as it reduces overhead and unlocks full link capacity. While RoCE can handle storage traffic, it's less effective with high packet loss (requiring reliable networks), making CPU- bound scenarios its prime use case.
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