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Collaboration to deliver NVMe-oF architectures

Microsemi is to collaborate with Mellanox Technologies and Celestica to develop a reference architecture for NVM express over Fabrics (NVMe-oF) applications as part of Microsemi’s Accelerate Ecosystem Programme. 

According to Microsemi, the Accelerate Ecosystem speeds development efforts for customers and collaborators through technology alignment, joint marketing and sales acceleration.

Companies are to leverage Microsemi’s peer-to-peer (P2P) memory architecture, which is supported by Switchtec PCIe switches, Flashtec NVRAM cards and NVMe controllers to enable large data streams to transfer between NVMe-oF applications without the CPU in the data plane.

This architecture is said to lead to the development of highly optimised NVMe-oF storage subsystems with better throughput, latency and quality of service. The company also claims it enables customers’ data center storage applications such as rack scale architecture to operate at faster rates.

“With customers designing their next-generation applications around NVMe-oF, Microsemi has created a strong ecosystem of industry leaders to put together tested and validated solutions for their specific needs,” said Amr Elashmawi, Microsemi’s vice president of corporate and vertical marketing.

“The growth potential in this market makes this the perfect time to pair Celestica’s and Mellanox’s expertise with Microsemi’s value-add to showcase the NVMe-oF P2P reference architecture accelerating data centre and cloud applications.”

As a result of this collaboration, Celestica has launched the first commercially available NVMe dual-port All Flash Array platform, and is preparing to launch a NVMe-oF solution, powered by Microsemi technology.

Mellanox’s is combining Microsemi’s P2P CPU memory offload capabilities with its ConnectX network adapters – including ConnectX-5 and BlueField SoC – to offer a comprehensive reference platform for high performance data plane applications and just a bunch of flash drives implementations.

Peggy Lee

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