Using PM and Software-Defined Architectures to Optimize AI/ML Workloads
Explore how you can close AI, machine learning and analytics workload performance gaps using persistent memory and software-defined architectures.
A key driver of that is software-defined architectures. We believe that combining the underlining technology of a hardware inside of a Penguin server with complete middleware, software, all the way up through the extraction to the user space is what it takes to deliver this cutting-edge technology.