According to a recent LinkedIn post from DriveNets, the company is working with AMD on an open Ethernet-based reference architecture for AI clusters. The post highlights comments from AMD executive Arvind Balakumar, who describes how AMD Instinct 350 series GPUs are paired with DriveNets’ AI fabric to validate this design.
The LinkedIn post indicates that DriveNets and AMD have published a validated reference architecture aimed at maximizing performance in AI clusters using AMD Instinct MI355X GPUs, AMD Pollara NICs, and DriveNets’ scale-out and frontend solutions. The post suggests the integrated solution is designed to remove networking bottlenecks through end-to-end optimizations across collective communication libraries, transport protocols, NICs, the network fabric, and system-level orchestration.
As described in the post, these optimizations are intended to increase GPU utilization and accelerate time-to-first-token, which could improve AI cluster economics for customers. For investors, alignment with AMD’s AI hardware roadmap and focus on an open Ethernet-based fabric may enhance DriveNets’ positioning in the AI infrastructure stack and potentially support demand from hyperscale and large enterprise buyers seeking cost-efficient, high-performance networking for AI workloads.
If the reference architecture gains adoption, it may strengthen DriveNets’ role as a software-centric networking provider integrated with a major GPU vendor. However, the LinkedIn post does not provide information on commercial terms, customer wins, or deployment scale, so the financial impact remains uncertain and will likely depend on market uptake of AMD-based AI clusters and competitive responses from other networking and interconnect solutions.