Computing Power Basics / TOKEN WIKI
There is a difference between the theoretical peak value of
GPU intelligent computing cluster The
In one sentence
GPU intelligent computing cluster is composed of computing nodes, interconnection networks, storage and scheduling components, and is used to carry large-scale AI workloads.
Why it matters
Increasing the number of cards does not guarantee linear acceleration, and communication and task scheduling will affect resource utilization.
Practical considerations
evaluates single node capabilities, inter-node communication, availability, monitoring and failure recovery rather than just comparing GPU count. Can the
FAQ
training cluster be directly used for inference?
needs to be adapted and verified based on request scheduling, model services and cost targets.
