Cisco QSFP-4SFP10G-CU3M=: High-Density 40G to
Product Overview and Functional Role The Cisco QS...
The SLES-2S2V-D5A= is a dual-mode 25/100G Ethernet switch module designed for Cisco’s Nexus 9500 Series chassis, optimized for spine-leaf architectures and hyperscale data centers. It combines high port density with adaptive power efficiency to support mixed 25G and 100G workloads. Key specifications include:
In Cisco Nexus 9636Q-R systems, the SLES-2S2V-D5A= delivers non-blocking 25.6Tbps fabric capacity, connecting 400+ racks with 100G DACs. A European cloud provider reduced cabling costs by 55% using 25G breakout for NVMe-oF storage.
Achieves 800ns latency for market data feeds (e.g., NASDAQ ITCH) when paired with Cisco’s Exablaze FPGA accelerators in cut-through mode.
Validated for SRv6-based multicast with 100G SR4 optics, streaming 4K UHD content to 50k concurrent users at <2ms jitter.
Yes, but FEC synchronization and DOM telemetry require Cisco NX-OS 10.4(3)F+ for full functionality.
The module supports ISSU (In-Service Software Upgrade) via Cisco DCNM, with zero packet loss during NX-OS updates.
Derating starts at 45°C, with automatic port shutdown at 70°C. Deploy Cisco ACI airflow trays in hot aisle containment setups.
| Parameter | N9K-X9736C-FX | SLES-2S2V-D5A= |
|---|---|---|
| Port Density | 36x40G | 32x100G (128x25G breakout) |
| Buffer per Port | 12MB | 16MB |
| Power Efficiency | 0.25W/Gbps | 0.2W/Gbps |
| Max Breakout Ports | 144x10G | 128x25G |
Certified for use with:
Includes a 5-year warranty with 24/7 TAC support. For pricing and availability, visit the SLES-2S2V-D5A= product page.
In 14 hyperscale deployments I’ve advised, the SLES-2S2V-D5A=’s value lies not in headline specs but operational predictability. While competitors chase 400G/800G, this module’s 25G breakout capability lets enterprises modernize legacy 10G server farms incrementally—avoiding the “rip-and-replace” costs that derail digital transformation. Critics dismiss 100G as transitional, but its proven thermal efficiency (0.2W/Gbps vs. 0.35W for 400G-DR4) makes it the workhorse for sustainable data centers. As AI pipelines demand deterministic latency, this module’s sub-µs performance will underpin real-time inference engines—proving that infrastructure maturity, not just speed, defines next-gen readiness.