Excelero NVMesh Architecture

NVMesh enables shared NVMe across any network and supports any local or distributed file system. Customers benefit from the performance of local flash
with the convenience of centralized storage while avoiding proprietary hardware lock-in and reducing the overall storage TCO.

1. 1. A web-based GUI provides intuitive management, configuration and monitoring functionality.
  2. The NVMesh Target Module identifies storage hardware such as NVMe drives and compatible NICs, and sets up RDDA pathways into the NVMe drives
    on behalf of the storage clients.
  3. The shift of data services from centralized CPU to complete client side distribution enable linear scalability, provides deterministic performance for applications.
  4. The intelligent Client Block Driver implements block device functionality for storage clients/consumers.
  5. The patented Remote Direct Drive Access (RDDA) functionality bypasses the CPU and, as a result, avoids the noisy neighbors effect for the application.

RDDA – Patented Remote Direct Drive Access

1. RDDA bypasses the target CPU

A key component of Excelero’s NVMesh is the patented Remote Direct Drive Access (RDDA) functionality, which bypasses the CPU and, as a result, avoids the noisy neighbors effect for the application. The shift of data services from centralized CPU to complete client side distribution enables linear scalability, provides deterministic performance for applications and enables customers to maximize the utilization of their flash drives.

Supports Converged and Disaggregated Architectures

NVMesh is deployed as a virtual, distributed non-volatile array and supports both converged and disaggregated architectures, giving customers full freedom in their architectural design.

Local Storage in Application Server

Storage is Centralized

Intuitive Management Interface

To facilitate maintenance, NVMesh2 features an intuitive GUI and a feature-rich performance analytics engine, which enables for pinpointing anomalies quickly and at scale. Customers benefit from elaborate cluster-wide and per-object performance and utilization statistics that help with the monitoring and analysis of the storage environment performance. Administrators can benefit from fully customizable display of detailed metrics of application workloads and datasets.