Leaf-Spine Network stands for Leaf-Spine Network Architecture. A two-tier data center topology in which every leaf switch connects to every spine switch for predictable low-latency east-west traffic. The term is most useful when a project connects that definition to a concrete use case such as Cloud data centers and AI clusters.
For Leaf-Spine Network, interoperability and acceptance start with the governing specification. The design context may include Ethernet, RoCEv2, InfiniBand, congestion control, and the scale-up or scale-out topology used by the compute system. Project documentation should identify the edition, host assumptions, and any vendor-specific limits that apply.
A useful boundary is the difference between Leaf-Spine Network and DCI. The former describes a two-tier data center topology in which every leaf switch connects to every spine switch for predictable low-latency east-west traffic. The latter describes Network links that connect separate data centers for traffic exchange, replication, backup, and workload mobility. Keeping that distinction clear prevents an interface, performance value, or commercial condition from being assumed where it was never specified.
For a deployable Leaf-Spine Network requirement, record topology, oversubscription, traffic pattern, congestion control, latency target, failure domain, and scale. Do not infer those details from RDMA or from a headline speed alone, because the related concept is defined separately as Technology allowing one computer to access another computer's memory directly with minimal CPU involvement.
Frequently Asked Questions
How is Leaf-Spine Network different from DCI?
Leaf-Spine Network refers to a two-tier data center topology in which every leaf switch connects to every spine switch for predictable low-latency east-west traffic. DCI instead refers to Network links that connect separate data centers for traffic exchange, replication, backup, and workload mobility. They can be related in one project, but one does not prove compliance with the other.
Where is Leaf-Spine Network normally used?
Typical use includes Cloud data centers and AI clusters. The exact implementation still depends on the host equipment, link design, environment, and governing specification.
What should a Leaf-Spine Network specification include?
It should state topology, oversubscription, traffic pattern, congestion control, latency target, failure domain, and scale. These details allow a supplier or engineer to verify the requirement instead of relying only on the term Leaf-Spine Network.
Need help selecting a compatible transceiver?
Tell us your target platform, data rate, fiber type, and transmission distance.