memory-to-compute fabric that connects compute nodes to distributed memory resources. Its products and APIs are designed for AI infrastructure teams building generative AI and machine learning systems that need to scale beyond on-package high bandwidth memory limits. Netpreme also provides developer tools, SDKs, and documentation to integrate its memory tiering technology with existing ML frameworks and system architectures. Through these offerings, Netpreme targets organizations that require higher effective memory capacity for large models and data-intensive inference or training workloads.