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Dell 430-4834 Mellanox ConnectX-3 MCX380A InfiniBand 40Gb/s PCI Express 3.0 x8 Mezzanine Network Car...

Dell 430-4834 Mellanox ConnectX-3 MCX380A InfiniBand 40Gb/s PCI Express 3.0 x8 Mezzanine Network Car...

SKU:430-4834
  • InfiniBand 40Gb/s connectivity
  • Mellanox ConnectX-3 MCX380A chipset
  • PCI Express 3.0 x8 interface
  • Mezzanine form factor
  • High throughput and low latency
  • Designed for HPC environments
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Product Overview

The Dell 430-4834 is a Mellanox ConnectX-3 MCX380A network adapter providing 40Gb/s InfiniBand connectivity. It features a PCI Express 3.0 x8 interface, making it suitable for high-performance computing and data-intensive applications.

Technical Information

InterfacePCIe 3.0 x8
Speed40Gb/s
TechnologyInfiniBand

Additional Specifications

ChipsetMellanox ConnectX-3 MCX380A
Form FactorMezzanine

Product Description

The Dell 430-4834 is a high-performance network adapter built around the Mellanox ConnectX-3 MCX380A technology. It delivers 40 Gigabit per second (Gb/s) InfiniBand speeds, a critical requirement for modern high-performance computing (HPC) clusters, scientific simulations, and big data analytics. The adapter's primary function is to facilitate extremely fast and efficient communication between servers and storage systems. Equipped with a PCI Express 3.0 x8 host interface, the 430-4834 ensures that the network connection is not a bottleneck for data-intensive workloads. This interface provides ample bandwidth to support the full 40Gb/s InfiniBand throughput. The mezzanine form factor indicates its integration within specific server chassis designs, often prioritizing space efficiency and direct component mounting. This network card is engineered to minimize latency and maximize bandwidth, essential for applications that rely on rapid data exchange and parallel processing. Features such as RDMA (Remote Direct Memory Access) are typically supported, allowing for direct memory transfers between nodes without CPU intervention, significantly enhancing application performance and scalability in clustered environments.

Condition:Refurbished

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