Mellanox 10/40-GbE adapters land in Dell's mainstream server, networking products
Collaboration with Mellanox helps provide Dell's data center customers with high performance and bandwidth.
Mellanox Technologies (NASDAQ: MLNX) announced that its dual-port ConnectX-3 10/40GbE Network Interface Cards (NICs) are now fully compatible with qualified Dell PowerEdge servers and other Dell networking solutions.
The companies say the Dell systems with the Mellanox dual-port 10/40GbE NICs are positioned to help data center customers increase mobility and scalability at the highest throughput with lower CPU overhead and cloud application costs. The companies say the product integration aims to provide data centers with lower latency and reduced application costs. The joint solution is designed to reduce capex and opex costs by streamlining hardware and simplifying management while delivering superior power efficiency.
More news: Mellanox launches online certification and training for InfiniBand, Ethernet
“Dell server and networking solutions are designed to deliver extreme performance in the most efficient way possible,” comments Brian Payne, executive director of server solutions, Dell. “Our collaboration with Mellanox helps us provide our customers with high performance and bandwidth, at increased capacity, lower power and reduced operating costs.” Mellanox notes that its 10/40-GbE NICs and ConnectX-3 based adapters support RDMA over Converged Ethernet (RoCE). Remote Direct Memory Access (RDMA) technology offloads the data transport to free up the CPU for virtualized networks, data intensive cloud applications and data analytics.
“Customers deploying Dell solutions with Mellanox dual port 10/40-GbE benefit from our industry-leading performance and efficiency combined with the power of Dell’s server and networking solutions,” concludes Chuck Tybur, vice president global accounts and Americas OEM sales at Mellanox Technologies. “This combination results in a high performance solution with low total cost of ownership in power efficiency, system scaling efficiency and compute density.”