AMD and HPE expand collaboration to advance open rack-scale Artificial Intelligence infrastructure

AMD expanded its collaboration with HPE to accelerate open, scalable Artificial Intelligence infrastructure by having HPE adopt the 'Helios' rack-scale Artificial Intelligence architecture. the platform combines AMD EPYC CPUs, AMD Instinct GPUs, AMD Pensando networking and the AMD ROCm open software stack and integrates a purpose-built HPE Juniper Networking scale-up switch developed in collaboration with Broadcom.

AMD announced an expanded collaboration with HPE to accelerate the next generation of open, scalable Artificial Intelligence infrastructure. HPE will become one of the first system providers to adopt the ‘Helios’ rack-scale Artificial Intelligence architecture. the ‘Helios’ design integrates a purpose-built HPE Juniper Networking scale-up switch, developed in collaboration with Broadcom, alongside software intended to provide seamless, high-bandwidth connectivity over Ethernet.

‘Helios’ combines AMD EPYC CPUs, AMD Instinct GPUs, AMD Pensando advanced networking and the AMD ROCm open software stack to deliver a cohesive platform designed for performance, efficiency and scalability. the system is engineered to simplify deployment of large-scale Artificial Intelligence clusters and to enable faster time to solution. the platform aims to give operators greater infrastructure flexibility across research, cloud and enterprise environments by unifying compute, accelerator, networking and open software at rack scale.

the announcement frames HPE’s adoption of ‘Helios’ as an extension of a long-term partnership between the two companies. in the company statement, Dr. Lisa Su, Chair and CEO, AMD, said, ‘HPE has been an exceptional long-term partner to AMD, working with us to redefine what is possible in high-performance computing.’ she added, ‘With ‘Helios’, we’re taking that collaboration further, bringing together the full stack of AMD compute technologies and HPE’s system innovation to deliver an open, rack-scale Artificial Intelligence platform that drives new levels of efficiency, scalability, and breakthrough performance for our customers in the Artificial Intelligence era.’ the release positions the combined hardware and software approach as a way to streamline large-scale cluster deployment and improve infrastructure efficiency for customers pursuing Artificial Intelligence workloads.

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