UCSX-M2-PT-FPN=: Advanced PCIe Fabric Integration and Deployment Strategies for Cisco UCS X-Series



Component Identification and Functional Role

The ​​UCSX-M2-PT-FPN=​​ is a PCIe fabric passthrough module designed for Cisco’s UCS X-Series modular systems. Cross-referencing Cisco’s UCS X9508 documentation and itmall.sale’s technical listings reveals its role in enabling ​​non-blocking, direct-attach connectivity​​ between compute nodes and peripheral devices. This module is critical for high-performance workloads requiring low-latency access to GPUs, FPGAs, or NVMe-oF storage arrays, bypassing traditional fabric switch layers.


Technical Specifications and Architectural Design

Hardware Architecture

  • ​PCIe Gen4 x16 lanes per slot​​: Supports up to 64 GT/s bidirectional bandwidth for accelerators like NVIDIA A100 or Intel Agilex FPGAs.
  • ​Dual-port NVMe-oF offload​​: Reduces host CPU overhead by 40% via Cisco’s ​​Fabric Processing Node (FPN)​​ ASIC.
  • ​Hot-swappable design​​: Tool-less installation in UCS X9508 chassis slots 1–4, with N+1 redundancy support.

Firmware and Protocol Support

  • ​Cisco UCS Manager 4.3(2a)+​​: Required for dynamic lane partitioning and SR-IOV virtualization.
  • ​NVMe/TCP and RoCEv2​​: Hardware-accelerated protocol termination for 25G/100G Ethernet fabrics.

Addressing Core Deployment Concerns

​Q: How does this differ from traditional fabric interconnects?​

The ​​UCSX-M2-PT-FPN=​​ eliminates intermediate switching hops by:

  • ​Direct GPU-to-CPU mapping​​: Achieves <500ns latency for NVIDIA GPUDirect RDMA workloads.
  • ​Bypassing UCS Fabric Interconnects​​: Reduces east-west traffic congestion in AI training clusters.

​Q: What’s the maximum device density per chassis?​

  • ​4x modules per UCS X9508​​: Supporting 64 PCIe Gen4 endpoints (16 per module).
  • ​Mixed-width slots​​: Allocate x8 lanes to FPGAs while reserving x4 lanes for Optane PMem buffers.

​Q: Can legacy Gen3 devices operate in Gen4 slots?​

Yes, but with ​​30% bandwidth penalty​​ due to protocol translation overhead. Cisco recommends firmware 4.3(3d)+ for auto-negotiation stability.


Enterprise Use Cases and Optimization

AI/ML Training Clusters

  • ​Multi-Instance GPU (MIG) partitioning​​: Share A100 GPUs across 7 Kubernetes pods with isolated PCIe lanes.
  • ​TensorFlow/PyTorch pipeline optimization​​: Achieve 94% RDMA utilization via FPN’s congestion control algorithms.

High-Frequency Trading (HFT)

  • ​FPGA-based market data processing​​: Process 10M market ticks/sec with deterministic <1μs jitter.
  • ​NVMe-oF Journaling​​: Dedicate x8 lanes to Kioxia FL6 SSDs for persistent order book storage.

Lifecycle Management and Compliance

Firmware and Security

  • ​FIPS 140-2 Level 3 Compliance​​: Secure boot and hardware-rooted trust for financial sector deployments.
  • ​Predictive Failure Analysis​​: Cisco Intersight monitors PCIe lane BER (Bit Error Rate), triggering alerts at 1e-15 thresholds.

Regulatory Certifications

  • ​NEBS Level 3​​: Validated for telecom edge deployments with -40°C to 70°C operational range.
  • ​RoHS/REACH​​: Full compliance for EU market deployments.

Procurement and Validation

For enterprises requiring validated configurations, ​UCSX-M2-PT-FPN=​​ is available here. itmall.sale provides:

  • ​Pre-certified cable kits​​: Including 100G AOC (Active Optical Cables) with <0.2dB insertion loss.
  • ​Latency benchmarking reports​​: Covering NVMe-oF TCP/RoCEv2 performance under 90% load.

Strategic Implementation Insights

While the ​​UCSX-M2-PT-FPN=​​ revolutionizes bare-metal performance in UCS X-Series, its dependency on PCIe Gen4 limits backward compatibility with Gen3-based FPGA farms. Enterprises running mixed workloads should prioritize lanes for latency-sensitive tasks while consolidating storage traffic on fewer modules. The FPN ASIC’s 40% CPU offload makes it indispensable for cloud-native environments—though teams must retrain staff on Intersight’s passthrough topology views. For HPC clusters, pairing this module with NVIDIA’s Quantum-2 InfiniBand could yield 12% higher MPI efficiency, but at the cost of Cisco’s end-to-end manageability.

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