In the race to scale AI and High-Performance Computing (HPC), the industry has hit a physical wall. While GPU compute power is exploding, the traditional "Solid" server architecture—where storage is trapped behind a single CPU’s PCIe lanes—has become a massive bottleneck. To solve this, the data center is moving toward Composable Disaggregated Infrastructure (CDI). Today, we are looking at the logic and data flow of the RocketStor 4243AS, a 24-Bay NVMe-oF™ Storage Chassis d

For Composable Disaggregated Infrastructure (CDI), software orchestration effectively serves as the "Brain” of the solution. However, the underlying hardware infrastructure still operates as the "Muscle." For software-defined storage (SDS) and orchestration providers, adding support for new hardware platforms often comes with a steep engineering tax. The RocketStor 4243AS changes that equation. By delivering a 24-bay, NVMe-over-Fabrics target built on industry-standard RoCE

In the race to deploy Large Language Models (LLMs) and Generative AI, most organizations focus on the GPU. But as clusters scale, a hidden bottleneck emerges: Data Stalling. If your GPUs are waiting for data to arrive from a slow, monolithic storage array, you are paying for compute cycles you aren't using. The HighPoint RocketStor 4243AS is a new CDI (Composable Disaggregated Infrastructure) Hardware Storage platform designed to eliminate this bottleneck by turning high-perf

In the high-stakes worlds of AI development, 8K video post-production, and edge computing, there has long been a sacred rule: If you want maximum performance, the drives must be installed directly inside the target server. For years, this meant building "fat nodes"—servers stuffed with local NVMe drives. But this model creates a rigid architecture where you can't scale storage without buying more expensive CPUs, and you can't share fast storage across your cluster. Enter NV