Saturday, November 16, 2019

EXTEN Technologies and AIC to deliver NVMe-oF storage offerings optimized for supercomputing

AIC and EXTEN Technologies have partnered to provide a dense and scalable, software-defined NVMe-oF solution with record breaking performance, advanced management, provisioning, and RAID data protection services. This disaggregated storage based on the AIC Shark server provides industry leading price performance for HPC, analytics and ML/AI applications.

The AIC Shark server is ideal for dense computation, networking, and storage scalability. Four AMD EPYC processors manage storage processing for up to 24 local NVMe drives in its 2U enclosure. The AIC Shark server is an ideal scale-up (add JBOFs) and scale-out (add servers) platform for high-bandwidth shared storage applications that have a variety of data processing requirements.


The EXTEN HyperDynamic datapath running on Shark nodes creates a powerful data processing system with less than one microsecond of software overhead. This enables blistering performance with the lowest latency available. With simple striping, the 2U system achieves bandwidth of over 80GB/s. EXTEN supports both RDMA and TCP in parallel for maximum flexibility.

The EXTEN HyperDynamic software management suite offers a single REST interface to manage a cluster of NVMe-oF targets. This allows administrators to provision and manage the AIC Shark with the simplicity of a single machine, while maintaining the shared-nothing, linear scalability of NVMe-oF block storage performance. The EXTEN management framework is standards-based which ensures future-proof compatibility. Together, EXTEN software and the AIC Shark provide a perfect framework for implementing any reconfigurable, software-defined NVMe-oF solution.

Utilizing standard MPIO and Linux drivers, the Shark solution provides a robust storage platform built on standard tools that provides fault tolerance at both the target and drive level. EXTEN software ensures high performance resilience features including mirroring and dual parity RAID within each Shark node and volume replication across nodes without using client-side resources such as CPU, memory and I/O bandwidth.

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