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Brand Name : | H3C |
Model Number : | S6880-48Y8C |
High-Density 25G/100G Data Center Switch Low Latency & Scalable H3C
S6880-48Y8C
The H3C S6880-48Y8C is a next-generation data center switch designed for high-performance computing, cloud environments, and enterprise networks requiring ultra-low latency, high bandwidth, and scalability. With 48x 25G SFP28 ports and 8x 100G QSFP28 uplinks, it delivers 12.8Tbps switching capacity, ensuring seamless traffic flow for AI/ML workloads, financial trading, and large-scale virtualization.
✔ High-Density 25G/100G Ports – Supports 1G/10G/25G
auto-negotiation and 100G breakout to 2x50G or 4x25G for flexible
deployment.
✔ Ultra-Low Latency – Microsecond-level forwarding ideal for HFT
(High-Frequency Trading) and RDMA (RoCEv2) applications.
✔ Scalable Data Center Fabric – IRF3.1 virtualization allows
multiple switches to operate as a single logical device,
simplifying management.
✔ Advanced Traffic Optimization – Supports VXLAN/EVPN, ECMP, and
BFD for efficient load balancing and fast failover.
✔ Energy-Efficient Design – Dynamic power adjustment and <300W
typical power consumption, reducing operational costs.
Parameter | Specification |
---|---|
Port Configuration | 48x 25G SFP28 + 8x 100G QSFP28 |
Switching Capacity | 12.8 Tbps |
Forwarding Rate | 9,600 Mpps |
Latency | <1μs (cut-through) |
Virtualization | IRF3.1 (Intelligent Resilient Framework) |
Protocols | VXLAN, EVPN, BGP, OSPF, RoCEv2 |
Power Supply | Dual redundant (1+1 or 2+2), 100-240V AC |
Cooling | Hot-swappable fans |
Dimensions | 440mm x 420mm x 44mm (1U) |
Cloud Data Centers – High-speed server connectivity with SDN (OpenFlow) support.
AI/ML & HPC Clusters – RDMA-enabled for GPU/CPU communication acceleration.
Financial Networks – Ultra-low latency for algorithmic trading systems.
This data center switch combines high performance, flexibility, and reliability, making it perfect for modern hyperscale and enterprise networks. Its scalable architecture ensures future-proofing, while Telemetry and gRPC enable real-time monitoring for optimal performance.
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