Oracle 7046442 Dual Port QDR Infiniband Adapter M3 PCIe Card

Oracle 7046442 Dual Port QDR Infiniband Adapter M3 PCIe Card
Oracle 7046442 Dual Port QDR Infiniband Adapter M3 PCIe Card
The Oracle Dual Port QDR Infiniband Adapter M3 PCIe Card (part number 7046442) delivers ultra-high bandwidth and low latency connectivity for demanding data-center and high-performance computing environments. Designed for the latest server platforms,... Read More
price
$16.95

Ships next business day.

  • In Stock: 205
  • Manufacturer: Oracle
  • Model or Part: 7046442
  • Condition: Refurbished
  • Weight: 1.00lb
United States Shipping
Orders over $200 qualify for Free Super-Saver Shipping! We ship at our discretion via the most cost-effective method using FedEx, UPS, or USPS.

To ensure your order is processed efficiently, all shipping charges must be pre-paid at checkout. We are unable to bill directly to third-party shipper accounts or use customer-provided labels for domestic shipments.
International Shipping
International orders begin processing as soon as payment is confirmed.

  • Pre-paid Shipping: For your convenience, you can select and pay for international shipping directly at checkout.
  • Carrier Accounts: Alternatively, we can bill transport costs directly to your FedEx account number. (Note: We cannot bill to DHL, TNT, or UPS accounts).
  • Customer Labels: We are also happy to ship internationally using pre-paid labels provided by you for any carrier.
Expedited and Rush Shipping
Need it faster? HardwareJet.com offers 1 or 2-day expedited shipping options during checkout for eligible items.

To get your order to the front of the line, expedited orders include a small rush fee in addition to the carrier's shipping charges. If an item is not available for expedited shipping, these options will not appear in your cart.

Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

To bring you an even wider selection, some of our items are shipped directly from our trusted partners. Delivery times may vary for these items.

Overview

The Oracle Dual Port QDR Infiniband Adapter M3 PCIe Card (part number 7046442) delivers ultra-high bandwidth and low latency connectivity for demanding data-center and high-performance computing environments. Designed for the latest server platforms, this dual-port adapter provides up to 40 Gbps per port, enabling seamless scaling of cluster workloads, large-scale simulations, and real-time analytics.

Key Features

  • Dual QDR (Quad Data Rate) Infiniband ports for 40 Gbps per port
  • PCIe 3.0 x8 interface ensures maximum throughput and compatibility with modern servers
  • Support for SR, LR and ER optical modules for flexible cabling options
  • Hardware offload for RDMA, enabling zero-copy data transfers and reduced CPU overhead
  • Advanced error detection and correction for reliable data integrity
  • Hot-plug capable for minimal downtime during maintenance

Technical Specifications

  • Model / Part Number: 7046442
  • Form factor: Full height, half length PCIe card
  • PCIe Generation: 3.0, x8 lanes
  • Port type: Dual QDR Infiniband (40 Gbps per port)
  • Supported link widths: 1x, 4x, 8x
  • Power consumption: Typical 25 W
  • Operating temperature: 0 to 45 degrees Celsius
  • Supported operating systems: Linux, Windows Server, Oracle Solaris
  • Compliance: RoHS, FCC, CE

Applications

  • High-performance computing clusters requiring fast inter-node communication
  • Financial services for low-latency trading platforms
  • Scientific research simulations such as fluid dynamics and molecular modeling
  • Big data analytics where rapid data movement between storage and compute nodes is critical
  • Virtualized environments that benefit from RDMA acceleration for VM migration and storage access

With its robust feature set and enterprise-grade reliability, the Oracle Dual Port QDR Infiniband Adapter M3 PCIe Card is an ideal solution for organizations looking to maximize performance and scalability in mission-critical workloads.