Quick tech specs
- Effectively increases available bandwidth on your network
- Rack mounting enables you to organize wires & secure cables for professional installation
- Supports optical fiber cable to span longer distances and provided high data transmission rates between servers and network
- Layer 2 switch provides a complete lineup of features including IGMP snooping,port mirroring,and spanning tree
- Lets you conveniently connect to the 800 gigabit ethernet Ethernet technology to offer maximum productivity
Know your gear
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 economicsContinuous 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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