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800G OSFP to 4x200G OSFP DAC Splitters

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  • 800G IB OSFP Transceivers5
  • 800G OSFP to OSFP DAC2
  • 800G OSFP to 2x400G OSFP DAC Splitters2
  • 800G OSFP to 4x200G OSFP DAC Splitters2
  • 400G IB OSFP/QSFP112 Transceivers3
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Категория
  • 800G IB OSFP Transceivers5
  • 800G OSFP to OSFP DAC2
  • 800G OSFP to 2x400G OSFP DAC Splitters2
  • 800G OSFP to 4x200G OSFP DAC Splitters2
  • 400G IB OSFP/QSFP112 Transceivers3
  • ...Show More

Product Overview

NADDOD 800G breakout InfiniBand NDR DAC comprehends Twin-port 2x400G OSFP to 4x200Gb/s OSFP InfiniBand NDR passive and active copper splitter cables. It provides connectivity between system units with an 800Gb/s OSFP port on one side and four 200Gb/s OSFP ports on the other. It is designed to provide ultra-low latency, ensuring real-time performance for the most demanding applications.

Связанные блоги

NADDOD

InfiniBand Simplified: Core Technology FAQs

Learn the essential details about InfiniBand technology with this FAQ guide. Explore topics like hardware compatibility, best practices for connecting InfiniBand devices, and how to optimize your network for AI and HPC environments.
NADDOD

Spectrum-X: NVIDIA's Answer to AI Ethernet Challenges

In this article, we’ll explore the limitations of traditional Ethernet in handling AI traffic—focusing on issues like load imbalance, high latency, and poor congestion control, and also examine how Spectrum-X, with technologies like RoCE adaptive routing and NVIDIA Direct Data Placement, solves these challenges and enhances isolation performance in AI cloud environments.
NADDOD

Why AI/ML Networks Rely on RDMA?

RDMA plays a vital role in AI/ML deployments by enabling faster data transfers, reducing latency, and minimizing CPU load. Its integration into InfiniBand and Ethernet networks supports efficient AI/ML infrastructures, powering applications like training, inference, and reinforcement learning while enhancing overall network performance.
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