HetCCL: Collective Communication for Heterogeneous AI Accelerators

A new computing library, called HetCCL, aims to facilitate interoperability between Nvidia and AMD AI accelerators within a single cluster. The goal is to overcome hardware barriers between the two architectures via RDMA (Remote Direct Memory Access).

The adoption of HetCCL could simplify the management of heterogeneous AI data centers, where hardware from different manufacturers coexist. This vendor-agnostic approach aims to create a more flexible and efficient computing environment.

For those evaluating on-premise deployments, there are significant architectural trade-offs between homogeneous and heterogeneous solutions, which AI-RADAR analyzes in detail at /llm-onpremise.