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\nOpen-source operating systems have their fundamental functional module code available as open-source. You can access the code from relevant communities and develop their features. Maintenance relies on yourself, making it more suitable for large-scale networking with their own development and maintenance teams, as it offers greater flexibility."}},{"@type":"Question","name":"What is the port density and speed of the N9500-64OC switch?","acceptedAnswer":{"@type":"Answer","text":"The N9500-64OC supports up to 64*800GbE, 128*400GbE, or 256*200GbE ports."}},{"@type":"Question","name":"What module and cable types can be used with the N9500-64OC switch?","acceptedAnswer":{"@type":"Answer","text":"The device can use OSFP-encapsulated 800G optical modules and cables, such as OSFP-800G-2xSR4, OSFP-800G-2xDR4, OSFP-800G-CU*, etc."}}]}
Item Spotlights
N9500-64OC, 64-Port Ethernet L3 2U Data Center Switch, 64x 800Gb OSFP, Preloaded with SONiC-based NOS, MLAG Support, RoCE Support
The N9500-64OC is an 800G high-performance switch platform for modern data center applications. The switch provides line-rate L2 and L3 switching across the 64 x 800 GbE OSFP800 ports, each supporting 2 x 400 GbE , 4 x 200 GbE, or 8 x 100 GbE via breakout cables. This switch platform is loaded with the Open Network Install Environment (ONIE), which supports the installation of compatible Network Operating System (NOS) software, including the open source software Open Network Linux (ONL).Build an end-to-end, lossless, low-latency forwarding RDMA (Remote Direct Memory Access) basic bearer network to meet the network deployment requirements of application scenarios such as AI/machine learning, high-performance computing, and distributed storage of big data.
NADDOD 800G/400G switches are integrated with Broadcom Tomahawk 5 chip, supporting RoCEv2 lossless networking protocols and providing full L2 and L3 forwarding. They deliver ultra-high performance, low-latency, and high-reliability solutions, especially for data centers, AI/ML clusters, high-performance computing, and distributed storage applications.
RDMA (Remote Direct Memory Access) technology based on Ethernet protocol enables low-latency, lossless communication, ensuring efficient data transfer and optimized AI workload performance.
Global load balancing, reactive path rebalancing, hardware link failover and drop congestion notification included in Cognitive Routing significantly enhance network capacity utilization and the job completion times for AI/ML training clusters.