Features
- Effectively reduces downtime with improved network performance
- Provides efficient communication with other ethernet switch in the stack to ensure maximum productivity
- Can work as layer 3 routing for scalable network design
- Rack mounting enables you to organize wires & secure cables for professional installation
- Management capability provides control over setup and configuration of your network
- 800 Gigabit Ethernet Ethernet technology for a reliable, convenient way of communication and connectivity
- Supports optical fiber cable to span longer distances and provided high data transmission rates between servers and network components
The QFX5240 line of Switches meet the advanced AI data center networking requirements of large-scale clusters. The QFX5240 line works with the automation-such as Apstra Data Center Director (formerly Juniper Apstra)-to assure daily operation in AI and ML workload training and access.
The QFX5240 line of 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, and their low latencies ensure 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 line of 800GbE switches 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 (store and forward). 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. The QFX5240 line of Switches supports ROCEv2 along with congestion management features like Priority Flow Control (PFC), explicit congestion notification (ECN), and data center quantized congestion notification (DCQCN).
The QFX5240 line of Switches 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, 256x200GbE, and 320x100GbE.
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