Nutanix. has been granted a patent for a high-performance computing system that utilizes a storage control architecture across multiple nodes. This system features executable containers within virtual machines, enhancing storage management and security, particularly for sensitive information, through dedicated control and service virtual machines. GlobalData’s report on Nutanix gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Nutanix, Network virtualization was a key innovation area identified from patents. Nutanix's grant share as of July 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
High-performance computing storage control architecture for virtualized environments

The patent US12074937B2 describes a non-transitory computer-readable medium that contains instructions for operating an executable container within a virtual machine in a hyper-converged environment. This environment consists of multiple nodes that collectively provide a virtualized storage resource, which aggregates storage from at least two of these nodes. The process involves receiving a storage access I/O command initiated by the executable container, which is then processed to access data from the virtualized storage resource. The claims detail various configurations, including the retrieval of the executable container from a container repository and its deployment by a second virtual machine, as well as the involvement of a separate controller, which may also be a virtual machine.
Further claims elaborate on the functionality of the system, including the ability to send storage access I/O commands between nodes for additional processing. The commands can be formatted as requests to virtual disks stored within the hyper-converged environment, which are accessible to multiple nodes. Additionally, the patent specifies that the storage access I/O commands can target persistent storage volumes, which are designed to be accessible by multiple executable containers. This framework aims to enhance data access and management within a hyper-converged infrastructure, providing a scalable and efficient solution for storage resource utilization across multiple nodes.
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