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JuniperQFX5240-64QD-AO
Out of stock
Juniper QFX5240 Ethernet Switch - 800 Gigabit Ethernet - 3 Layer Supported - Optical Fiber - 2U - 1 Year Limited Warranty
SKU: QFX5240-64QD-AO
Features
Key Features
  1. Effectively reduces downtime with improved network performance
  2. Supports layer 3 switching for enhanced performance and usability
  3. 800 Gigabit Ethernet Ethernet technology for a reliable, convenient way of communication and connectivity
  4. Supports optical fiber cable to span longer distances and provided high data transmission rates between servers and network components
Switch
QFX5200
Product Information
Features
Dimensions
Product Name:
QFX5240 Ethernet Switch
Product Series:
QFX5200
Product Line:
QFX
Port Details:
64x 800 Gigabit Ethernet Expansion Slot
Rack Units:
2U
Fanless:
No
Routing:
Yes
Stacking:
No
Redundant PSU:
Yes
PoE Budget (W):
-
Power Consumption (W):
-
Height:
3.46 in
Width:
17.24 in
Depth:
25.51 in
Weight:
48.5 lb
Description

The QFX5240 Switches meet the advanced AI data center networking requirements of large-scale clusters. QFX5240 switches work with the automation in Juniper Apstra to assure daily operation in AI and ML workload training and access. QFX5240 Switches: - deliver high-density 800GbE ports on a fixed form factor with software to provide advanced network services tuned to the specific needs of AI/ML workloads - are a foundation of AI networks, ensuring fast job completion time (JCT) to speed training through high GPU utilization - help teams managing AI/ML environments realize improved economics.

Product Description

Continuous evolution of AI/ML technology along with new applications are driving the next major shift in bandwidth requirement within the data center fabric. Juniper Networks® QFX5240 800GbE switch (64 port 800GbE) is a next-generation, fixed-configuration platform designed for spine, leaf, and border switch roles. The switch provides flexible, cost-effective, high-density 800GbE, 400GbE, 100GbE, and 50GbE interfaces for intra-IP fabric connectivity as well as higher density 200/400GbE NIC connectivity for AI/ML use cases. It's 51.2Tbps unidirectional throughput meets the bandwidth requirement of AI/ML workloads and storage systems with latency in the range of 700-750ns. Remote Direct Memory Access (RDMA) is the de-facto data transfer technology used in AI/ML workloads, and it uses Remote Direct Memory Access over Converged Ethernet v2 (ROCEv2) for transport at the network layer. QFX5240 supports ROCEv2 along with congestion management features like PFC, explicit congestion notification (ECN), and data center quantized congestion notification (DCQCN).

The QFX5240 helps reduce the number of network nodes deployed-decreasing the total power consumption of the data center fabric and improving the carbon footprint of the data center. These improvements are possible by having different breakout options like 128x400GbE and 256x200GbE/100GbE.

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