Switching Infrastructure
High-performance networking for modern enterprise, AI, and cloud environments
Switching infrastructure is the backbone of any enterprise or data center network. Scalable, reliable, and intelligent switches enable fast connectivity, low latency, secure segmentation, and seamless integration with cloud and edge environments. Modern switches also support AI-driven analytics, automation, and SD-Access capabilities to simplify operations while enhancing network reliability.
Cisco Catalyst Series
Reliable, enterprise-grade switching for secure, scalable networks.
- Models: 9200L, 9300L, 9500X
- Key Features: Layer 3 routing, SD-Access, automation-ready, advanced QoS, and high-availability architectures.
- Applications & Use Cases: Enterprise campus networks, secure multi-branch connectivity, high-performance routing for business-critical applications, and converged infrastructure deployments.
HPE Aruba CX Series
AI-powered switches with cloud-ready management.
- Models: CX 10000, 8360, 6400
- Key Features: Dynamic segmentation, DPU-based security, analytics-driven automation, edge-to-cloud fabric management.
- Applications & Use Cases: Smart campuses, secure IoT deployments, hybrid cloud connectivity, and AI-driven network monitoring.
Dell PowerSwitch Z & S Series
High-throughput, multi-rate switching for AI, edge, and dense compute.
- Models: Z-Series (400/800GbE), S-Series (10/25/100GbE)
- Key Features: Multi-rate high-speed ports, SONiC and OS10 ready, low-latency fabric, and robust telemetry for AI workloads.
- Applications & Use Cases: High-performance AI clusters, dense compute environments, edge data centers, and enterprise backbone switching.
NVIDIA Spectrum-X & Quantum
Networking optimized for AI, HPC, and in-network compute.
- Models: Spectrum-X (Ethernet), Spectrum Quantum (InfiniBand)
- Key Features: Ultra-low latency networking, 100–800GbE Ethernet, In-Network Compute Offload, SHARPv3 hardware acceleration, NVLink-ready support.
- Applications & Use Cases:
- AI & Deep Learning: Accelerated GPU clusters with low-latency interconnects for distributed training.
- High-Performance Computing (HPC): Multi-node simulations with InfiniBand RDMA and congestion-free fabrics.
- Data Center Fabrics: AI-ready fabrics supporting cloud-scale data pipelines and real-time analytics.
- Business Benefits: Maximizes GPU utilization, reduces training time for ML/AI workloads, and provides deterministic performance for latency-sensitive applications.
Huawei CloudEngine
Hyperscale, AI-driven networking for cloud & 5G.
- Models: 768× 400GbE
- Key Features: AI-based traffic optimization, high-density switching, seamless integration with cloud and edge AI platforms.
- Applications & Use Cases: Cloud data centers, AI clusters, 5G core networks, and large-scale enterprise fabrics.
Cisco Catalyst Series
Reliable, enterprise-grade switching for secure, scalable networks.
- Models: 9200L, 9300L, 9500X
- Key Features: Layer 3 routing, SD-Access, automation-ready, advanced QoS, and high-availability architectures.
- Applications & Use Cases: Enterprise campus networks, secure multi-branch connectivity, high-performance routing for business-critical applications, and converged infrastructure deployments.
HPE Aruba CX Series
AI-powered switches with cloud-ready management.
- Models: CX 10000, 8360, 6400
- Key Features: Dynamic segmentation, DPU-based security, analytics-driven automation, edge-to-cloud fabric management.
- Applications & Use Cases: Smart campuses, secure IoT deployments, hybrid cloud connectivity, and AI-driven network monitoring.
Dell PowerSwitch Z & S Series
High-throughput, multi-rate switching for AI, edge, and dense compute.
- Models: Z-Series (400/800GbE), S-Series (10/25/100GbE)
- Key Features: Multi-rate high-speed ports, SONiC and OS10 ready, low-latency fabric, and robust telemetry for AI workloads.
- Applications & Use Cases: High-performance AI clusters, dense compute environments, edge data centers, and enterprise backbone switching.
NVIDIA Spectrum-X & Quantum
Networking optimized for AI, HPC, and in-network compute.
- Models: Spectrum-X (Ethernet), Spectrum Quantum (InfiniBand)
- Key Features: Ultra-low latency networking, 100–800GbE Ethernet, In-Network Compute Offload, SHARPv3 hardware acceleration, NVLink-ready support.
- Applications & Use Cases:
- AI & Deep Learning: Accelerated GPU clusters with low-latency interconnects for distributed training.
- High-Performance Computing (HPC): Multi-node simulations with InfiniBand RDMA and congestion-free fabrics.
- Data Center Fabrics: AI-ready fabrics supporting cloud-scale data pipelines and real-time analytics.
- Business Benefits: Maximizes GPU utilization, reduces training time for ML/AI workloads, and provides deterministic performance for latency-sensitive applications.
Huawei CloudEngine
Hyperscale, AI-driven networking for cloud & 5G.
- Models: 768× 400GbE
- Key Features: AI-based traffic optimization, high-density switching, seamless integration with cloud and edge AI platforms.
- Applications & Use Cases: Cloud data centers, AI clusters, 5G core networks, and large-scale enterprise fabrics.
NVIDIA Spectrum-X & Quantum -
Networking optimized for AI, HPC, and in-network compute.
- Models: Spectrum-X (Ethernet), Spectrum Quantum (InfiniBand)
- Key Features: Ultra-low latency networking, 100–800GbE Ethernet, In-Network Compute Offload, SHARPv3 hardware acceleration, NVLink-ready support.
- Applications & Use Cases:
- AI & Deep Learning: Accelerated GPU clusters with low-latency interconnects for distributed training.
- High-Performance Computing (HPC): Multi-node simulations with InfiniBand RDMA and congestion-free fabrics.
- Data Center Fabrics: AI-ready fabrics supporting cloud-scale data pipelines and real-time analytics.
- Business Benefits: Maximizes GPU utilization, reduces training time for ML/AI workloads, and provides deterministic performance for latency-sensitive applications.