- Product id: 3459
- Stock: In Stock
- Brand: Mellanox
- Model: Mellanox MSB7890-ES2F (NVIDIA Spectrum-2)
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Key Features
- Flexible Port Speeds
- 32 ports of 200GbE
- Software Choices
| Feature | Specification |
|---|---|
| Model | Mellanox MSB7890-ES2F (NVIDIA Spectrum-2) |
| Form Factor | 1U Rackmount |
| Switch ASIC | NVIDIA Spectrum-2 (SN4000 Series) |
| Port Configuration | 32 x 200GbE QSFP56 OR 64 x 100GbE QSFP28 OR 128 x 25/50GbE SFP28 (via breakout cables) |
| Total Switching Capacity | 12.8 Tbps |
| Forwarding Rate | ~3.8 Bpps (Billion Packets Per Second) |
| Latency | Extremely low, typically sub-600 nanoseconds |
| Management | Managed Switch (OS: NVIDIA Onyx® or Cumulus Linux®) |
| Key Technologies | RoCE (RDMA over Converged Ethernet), VXLAN, EVPN, MLAG |
Detailed Feature Explanation
Flexible Port Speeds: This is one of its most powerful features. The 32 QSFP56 ports are not locked to 200G. You can use them as:
32 ports of 200GbE: For spine-leaf backbone or connecting to high-performance servers/storage.
64 ports of 100GbE: Using a QSFP56 to dual-QSFP28 breakout cable. This is a very common and cost-effective way to double the port density at 100G.
128 ports of 25GbE or 50GbE: Using a QSFP56 to quad-SFP28 breakout cable. This is ideal for connecting to a large number of servers that use 25G NICs, which are standard in modern cloud and hyper-converged infrastructure.
NVIDIA Spectrum-2 ASIC: The heart of the switch, providing:
High Performance: Non-blocking, line-rate performance on all ports simultaneously.
Advanced Load Balancing: Improved network utilization and prevention of bottlenecks.
Power Efficiency: Delivers high bandwidth per watt of power consumed.
Software Choices:
NVIDIA Onyx: A full-featured, commercial, Linux-based network operating system (NOS) that provides a rich set of L2/L3 features and a familiar CLI (similar to Cisco). It's known for its stability and robustness.
Cumulus Linux: (Note: NVIDIA has announced the end-of-life for Cumulus Linux, migrating users to Onyx or SONiC). It was a popular open NOS that allowed for deep automation and integration with tools like Ansible and Puppet.
Support for RDMA/RoCE: This is critical for AI and HPC workloads. The switch is optimized for RoCE (RDMA over Converged Ethernet), which allows for direct memory access between servers, bypassing the CPU and significantly reducing latency. This is essential for frameworks like NVIDIA's NCCL that are used in multi-GPU AI training.
Common Use Cases
AI & Machine Learning Clusters: Forms the high-speed fabric connecting GPU servers (like NVIDIA DGX systems) to enable fast data exchange during distributed training.
High-Performance Computing (HPC): Used in scientific computing and research environments where low latency and high throughput are paramount.
Hyper-Converged Infrastructure (HCI) & Storage: Backend for all-flash storage arrays (like VAST Data, Dell PowerScale) that require massive, low-latency bandwidth.
Cloud Data Centers: As a high-density leaf or spine switch in a modern CLOS (leaf-spine) network architecture.
High-Frequency Trading (HFT): Where every nanosecond of latency counts.
Strengths and Weaknesses
Strengths:
Extreme Performance: Industry-leading throughput and latency.
Port Density and Flexibility: The ability to run at 200G, 100G, or 25/50G from the same hardware is a huge advantage for future-proofing.
Ideal for AI/HPC: Unmatched performance for RDMA and GPU-centric workloads.
Proven Reliability: Built on the mature and robust Spectrum-2 platform.
Weaknesses / Considerations:
Cost: It is a premium, high-end switch and carries a corresponding price tag.
Power and Cooling: 32 ports of 200G can draw significant power and generate heat, requiring adequate data center cooling.
Complexity: Maximizing its potential (especially with RoCE) requires skilled network engineering. It's overkill for general-purpose enterprise networking.
The Mellanox MSB7890-ES2F (NVIDIA Spectrum-2) is not a typical office switch. It is a high-performance, flexible, and scalable Ethernet switch purpose-built for the most demanding modern data center workloads, particularly those involving AI, machine learning, and high-performance storage. Its key selling point is the ability to deliver massive bandwidth with ultra-low latency, making it a top choice for organizations pushing the boundaries of computational performance.
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