High-performance, distributed Server SAN
Software-defined block storage for Cloud and Enterprise applications at any scale
Excelero was inspired by how the Tech Big 5 – Amazon, Facebook, Google, Microsoft, Apple – have redefined storage for web-scale applications to maximize operational efficiency and flexibility.
Enterprises and service providers are seeking to optimize their infrastructures similarly, to future-proof their applications. For this purpose, they need intelligent, software-based storage on standard servers, optimized for maximum efficiency and flexibility.
Enterprises and service providers are also seeking to optimize their infrastructures, to future-proof their applications. New workloads, created by the internet of things (IoT), Big Data analytics and Artificial Intelligence increase the volume of data that needs to be stored and processed, which requires a significant transformation in storage architectures.
New applications, such as IoT, Big Data Analytics and Artificial Intelligence, have a big impact on storage workloads and require a significant transformation in storage architectures.
Excelero’s Software-Defined Storage platform NVMesh® enables customers to design Server SAN infrastructures for the most demanding enterprise and cloud-scale applications, leveraging standard servers and multiple tiers of flash. NVMesh has been deployed for Industrial IoT services, machine learning applications and simulation visualization.
NVMesh is a Software-Defined Block Storage solution that features Elastic NVMe, a distributed block layer that allows unmodified applications to utilize pooled NVMe storage devices across a network at local speeds and latencies. Distributed NVMe storage resources are pooled with the ability to create arbitrary, dynamic block volumes that can be utilized by any host running the NVMesh block client. These virtual volumes can be striped, mirrored or both while enjoying centralized management, monitoring and administration. In short, applications can enjoy the latency, throughput and IOPs of a local NVMe device while at the same time getting the benefits of centralized, redundant storage.