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Home Switching Mellanox Spectrum-2 32x QSFP56 Switch x86 CPU Dual PSU

Mellanox Spectrum-2 32x QSFP56 Switch x86 CPU Dual PSU

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Enterprise NVIDIA Mellanox Spectrum-2 Ethernet switch designed for high-performance data center fabrics with 32x QSFP56 ports, x86 control plane, and dual redundant AC power supply for resilient cloud and AI networking

OVERVIEW

  • Mellanox Spectrum-2 MSN3700-VS2RO is a high-performance Ethernet switching platform designed for modern data centers supporting AI, cloud, virtualization, and hyperscale networking workloads
  • It delivers 32x QSFP56 high-speed ports enabling flexible deployment of 100G and 200G class connectivity for scalable spine-leaf architectures
  • The integrated x86 control plane enhances programmability, automation, and network orchestration, making it suitable for software-defined data centers and cloud-native environments
  • Dual AC PSU redundancy improves operational resilience, ensuring uninterrupted service for mission-critical enterprise workloads and continuous cloud operations
  • Compared to entry-level switches, it provides higher port density, stronger compute-driven control, and improved scalability for evolving digital infrastructure

USE CASES

  • Cloud data center spine-leaf networking for hyperscale environments
  • AI and machine learning cluster networking for GPU-based workloads
  • Enterprise virtualization infrastructure supporting VMware and container platforms
  • High-performance computing data transport and distributed workloads
  • Financial services low-latency trading and risk analytics networks
  • Telecom data center and 5G core network infrastructure
  • Big data analytics and real-time processing pipelines
  • Hybrid cloud and multi-cloud connectivity architectures
  • Enterprise campus-to-data center aggregation networks
  • Disaster recovery and high-availability network backbones

KEY FEATURES

  • 32x QSFP56 high-speed Ethernet ports for scalable data center connectivity
  • Supports 100G and 200G class network deployments for flexible scaling
  • Spectrum-2 architecture optimized for low-latency cloud and AI workloads
  • Integrated x86 CPU for advanced network programmability and automation
  • Dual redundant AC power supply for high availability and uptime assurance
  • Designed for spine-leaf and Clos network architectures
  • High throughput switching optimized for east-west traffic in data centers
  • Supports software-defined networking (SDN) environments
  • Enables efficient GPU cluster and AI infrastructure connectivity
  • Improves network utilization in virtualization-heavy environments
  • Reduces latency for distributed compute and storage workloads
  • Enhances scalability for hyperscale cloud deployments
  • Supports continuous 24x7 enterprise-grade operation
  • Optimized for modern cloud-native application ecosystems
  • Enables infrastructure consolidation and operational efficiency

TECHNICAL SPECIFICATIONS

  • Brand: Mellanox
  • Part Number: MSN3700-VS2RO
  • Product Family: Spectrum-2 Ethernet Switch
  • Port Configuration: 32 x QSFP56 ports
  • CPU: x86-based control plane processor
  • Power Supply: Dual AC PSU (redundant)
  • Switch Architecture: Spectrum-2 Ethernet fabric
  • Deployment Type: Data center spine-leaf / aggregation layer
  • Interface Speed Support: 100G / 200G class connectivity
  • Primary Use Case: Cloud, AI, HPC, Virtualization networks
  • Form Factor: Data center rack-mounted switch
  • Operating Environment: Enterprise and hyperscale data centers
  • Redundancy: Power redundancy with dual PSU architecture
  • Network Role: Core / spine / aggregation switching layer

WHY CHOOSE THIS PRODUCT?

  • Organizations choose MSN3700-VS2RO for its balance of high-speed connectivity, programmable control plane, and enterprise-grade resilience
  • It enables scalable network design for AI, cloud, and virtualization workloads without sacrificing performance or reliability
  • Compared to traditional switches, it offers better automation capability through its x86 architecture and stronger fabric efficiency for modern workloads

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