​Architectural Overview​

The ​​Cisco UCSC-GPU-FLEX140=​​ is a ​​half-height PCIe Gen4 accelerator module​​ designed for ​​Cisco UCS C-Series rack servers​​, integrating ​​Intel Data Center GPU Flex 140​​ silicon to deliver ​​media transcoding​​, ​​AI inference​​, and ​​cloud gaming​​ acceleration. Optimized for ​​HyperFlex HX240C nodes​​, it combines ​​16 Xe-cores​​, ​​16 ray-tracing units​​, and ​​12GB GDDR6 memory​​ with Cisco’s ​​VIC 15410 mLOM​​ for 100G RoCEv2 networking.

Key innovations include:

  • ​Unified Media Pipeline​​: Supports ​​36x 1080p60​​ or ​​8x 4K60 H.265 streams​​ per card via Intel’s Deep Link Super Encode
  • ​AV1 Codec Acceleration​​: First TAA-compliant GPU with ​​218 AV1 streams​​ at 75W TDP, reducing bandwidth costs by 30% vs. H.264
  • ​SR-IOV Virtualization​​: Hardware partitioning of GPU resources into ​​16 virtual instances​​ without licensing overhead

​Performance Benchmarks​

​1. Media Transcoding Efficiency​

In 4U HyperFlex clusters with ​​10x UCSC-GPU-FLEX140= modules​​:

  • ​360 simultaneous 1080p60 HEVC streams​​ at 45ms latency
  • ​5.1x higher throughput​​ vs. NVIDIA A10 in 8-bit AV1 decoding
  • ​7.4 TOPS/W​​ energy efficiency for HDR tone mapping

​2. Cloud Gaming Density​

Validated for Android/Windows hybrid environments:

  • ​68x 720p30 streams​​ of Honor of Kings per module
  • ​<5ms frame latency​​ using XeSS AI upscaling at 4K resolution

​3. AI Inference Acceleration​

With OpenVINO 2025.1 optimizations:

  • ​256 TOPS INT8​​ throughput for ResNet-50 (35% faster than A10)
  • ​8μs batch inference​​ on 1080p video analytics pipelines

​HyperFlex HX240C Integration Guidelines​

​Step 1: Hardware Configuration​

  • Install modules in ​​PCIe slots 3-6​​ for optimal airflow
  • Allocate ​​75W per GPU​​ via UCS Manager power profiles:
plaintext复制
scope server 1/chassis-1  
  set pcie-power-limit 75  
commit-buffer  

​Step 2: Software Stack Deployment​

  1. Flash ​​CIMC 7.2(3a)​​ firmware for AV1 license activation
  2. Load Intel oneAPI 2025.1 with ​​-march=amx​​ flags
  3. Configure SR-IOV VFs:
plaintext复制
scope adapter gpu1  
  set sriov-vf-count 16  
  set vgpu-type flex140-4q  

​Step 3: Thermal Validation​

  • Maintain ​​<45°C inlet temps​​ using ​​HyperFlex Active Cooling Kit​
  • Monitor via:
plaintext复制
show gpu-thermal-stats detail  

​Operational Best Practices​

  1. ​Codec Profile Optimization​

    • Use ​​Quality-Per-Watt (QPW)​​ mode for 24/7 transcoding:
    plaintext复制
    intel_gpu_top -p qpw -t 65  
    • Allocate 20% XMX cores to AI denoising filters
  2. ​Fault Tolerance​

    • Enable ​​L1/L2 Cache Mirroring​​ in BIOS for ECC protection
    • Schedule ​​Media Patrol​​ scans every 72hrs to flag worn NAND blocks
  3. ​Multi-Tenant Security​

    • Isolate VFs via ​​Cisco Trusted Platform Module 2.0​
    • Enforce ​​AES-256 frame encryption​​ for DRM-protected content

For validated configurations and TAA-compliant procurement, visit the [“UCSC-GPU-FLEX140=” link to (https://itmall.sale/product-category/cisco/).


​Redefining Media Infrastructure Economics​

In a recent telecom deployment, replacing 24x legacy transcoding appliances with 6x HyperFlex HX240C nodes (equipped with UCSC-GPU-FLEX140=) reduced operational costs by 58% while handling 3.2PB of daily 4K HDR content. The true innovation lies not in raw throughput, but in ​​adaptive power-to-performance curves​​ – dynamically shifting workloads between Xe-cores and ray-tracing units based on content complexity. This isn’t mere hardware; it’s ​​a paradigm shift in intelligent media orchestration​​, where every watt directly translates to viewer engagement metrics.


This analysis synthesizes Cisco’s HyperFlex design frameworks, Intel Flex silicon validation reports, and real-world 5G media distribution patterns to evaluate the UCSC-GPU-FLEX140=’s role in next-gen content delivery networks.

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