Cirrascale Advances Open AI Infrastructure with AMD Helios Rackscale Solution and AMD Instinct™ MI400 Series GPUs

Cirrascale Cloud Services, the expert neocloud built for Private AI, announced support for the AMD Helios rackscale solution and AMD Instinct™ MI400 Series GPUs across its AI innovation cloud. The addition brings AMD rack-scale AI infrastructure, powered by AMD Instinct™ MI455X GPUs, to Cirrascale customers running large-scale inference, frontier-model training, and fine-tuning, and it extends Cirrascale’s open, multi-vendor approach to accelerated computing.

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Cirrascale brings AMD Instinct™ MI400 Series GPUs to its AI innovation cloud for sovereign AI and HPC, all on open, standards-based infrastructure.

AMD Helios is a rack-scale AI infrastructure platform for frontier AI development and AI factory deployments. It brings AMD Instinct GPUs, 6th Gen AMD EPYC™ CPUs, AMD Pensando™ networking, and AMD ROCm™ software together in a unified, 72-GPU rack-scale platform built from OCP ORW-aligned 4-GPU compute trays. Defense-in-depth security, virtualization, and rack-scale software acceleration round out a system designed on open standards, so customers can deploy and scale interoperable AI infrastructure from a single rack to cluster scale.

At rack scale, AMD Helios delivers exaflop-class AI performance, with up to 2.9 exaFLOPS of peak 4-bit (OCP MXFP4) compute and 31 TB of HBM4 memory in a single rack. It scales up inside the rack over UALink™ over Ethernet (UALoE) and scales out across racks and clusters on standards-based Ethernet aligned with the Ultra Ethernet Consortium (UEC), giving customers a path to grow without proprietary fabric lock-in.

The broader AMD Instinct MI400 Series also includes AMD Instinct™ MI430X GPUs, built for sovereign AI and HPC. Combining leadership performance for simulation and modeling with advanced AI capabilities in open, trusted systems, MI430X GPUs give governments, research institutions, and national labs a path to scale private AI compute with control and confidence.

As the expert neocloud, Cirrascale delivers these platforms as dedicated, bare-metal capacity backed by hands-on support, backed by hands-on expert support. That approach gives customers the freedom to match accelerator technology to the workload rather than commit to a single vendor or a closed stack, reflecting how AMD built AMD Helios: on open standards and standards-based Ethernet, designed for interoperability and choice.

“Our customers are building at a scale where infrastructure choices carry real weight, and they want to match the accelerator to the workload instead of being locked into one path,” said Alex Nataros, chief technology officer at Cirrascale Cloud Services. “The AMD Helios rackscale solution fits how we think about the cloud: open, standards-based, and built to run the most demanding inference and training jobs without forcing customers into a closed system.”

“AMD Helios rackscale solution brings the best of AMD compute and networking technology together into a single rack-scale building block, delivering leadership performance, performance per watt, and cost per token for the next wave of AI,” said Andrew Dieckmann, Corporate Vice President and General Manager, Data Center GPU Business Unit, AMD. “As demand accelerates for large-scale inference and frontier-model training, AMD Helios gives customers a clear path to scale from rack to cluster with the efficiency, economics, and openness needed to power the most demanding AI workloads.”

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