One other aspect of AMD’s involvement is using AMD’s Enterprise AI Suite, which is designed because the manufacturing layer. It connects open-source AI frameworks and generative AI fashions with an enterprise-ready platform tuned for AMD compute, notably GPU-based infrastructure.
The suite integrates elements for mannequin serving, validated workflows, governance capabilities, and developer environments, all working on GPU clusters at scale. It’s constructed with a Kubernetes-native, container-based strategy supposed to suit into enterprise DevOps/MLOps practices whereas supporting safety and multiteam governance.
AMD’s recently-announced EPYC 8005 server CPUs are designed for edge environments a telco will face on the edge. They’re optimized for telco, with excessive compute density to help digital RAN (vRAN) workloads and embody compute-intensive Layer 1 processing. The processors provide help for large thermal working ranges, enabling OEMs to certify NEBS-compliant platforms for rugged and outside telco deployments, in addition to small-form-factor techniques.
In different AMD information at MWC, Samsung Electronics introduced new breakthroughs with AMD throughout Samsung’s community portfolio, together with 5G Core, virtualized RAN (vRAN) and personal networks. The partnership with Samsung is just like the one Nokia has inside Nvidia.
At MWC 2026, Samsung demonstrated its AI-RAN breakthroughs by leveraging its AI-powered vRAN with AMD Epyc processors. Each corporations plan to introduce the profitable outcomes of multi-cell testing carried out at Samsung’s R&D Lab, enabling scalable deployments and higher processor flexibility inside software-based community environments.
Samsung has been shifting towards software-driven architectures designed to cut back {hardware} dependency and supply operators with higher selection and adaptableness for a while now. At MWC, Samsung introduced its Community in a Server (NIS), a completely virtualized next-generation, Edge-AI answer powered by AMD’s Epyc CPU.
