TensorWave Powers Frontier AI Growth for Cloud Customers with AMD Helios Rackscale Solution

TensorWave expands its AI cloud platform with AMD Helios rackscale solution, bringing enterprise-grade performance and open infrastructure to the next generation of AI workloads

TensorWave, the all-AMD AI cloud specializing in high-performance, memory-intensive workloads, today announced it has adopted the AMD Helios rackscale solution, powered by AMD Instinct™ MI455X GPUs, to advance its infrastructure for frontier-scale inference and training workloads. The 72-GPU AMD Helios rackscale solution integrates AMD Instinct GPUs, 6th Gen AMD EPYC™ CPUs, AMD Pensando™ networking, and AMD ROCm™ software into a unified, open rack-scale platform built for high-volume inference, frontier-model training, and fine-tuning at scale.

“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.”