The organizations deploying AI at scale today are not moving workloads to the cloud and waiting. They are building on-premise infrastructure that gives them control over performance, security, and cost, and they need hardware that can sustain the full weight of those workloads without throttling under load.

The Matrix Scalable AI Server was built for that operating reality. At its foundation are dual AMD EPYC 9115 processors, each delivering 16 cores and 32 threads at 2.6GHz, with the memory bandwidth architecture that AI and technical workloads demand. Paired with dual NVIDIA RTX Pro 6000 Blackwell GPUs, the system is engineered to handle GPU-accelerated AI and machine learning tasks, high-fidelity 3D rendering, and advanced visualization workloads with the sustained throughput that mission-critical deployments require.

This is not a server that performs well on benchmarks and struggles in production. It is designed for continuous, demanding operation across a wide range of workloads, in environments where consistent performance is the baseline expectation, not the stretch goal.