Hardware Architecture and Technical Specifications

The ​​UCS-CPU-A7352=​​ is a Cisco UCS C-Series processor module designed for high-density virtualization and AI/ML workloads. Based on Cisco’s Unified Computing System documentation and itmall.sale’s technical listings, this SKU represents a ​​dual-socket AMD EPYC 7352P configuration​​ optimized for enterprise private clouds and distributed storage systems. The module supports 24-core/48-thread operation at 2.3GHz base clock (3.2GHz max boost) with 128MB L3 cache per socket, delivering 1.5x higher VM density compared to previous-generation EPYC 7002 series processors.

​​Key technical innovations include​​:

• ​​Zen 3 Core Architecture​​: 19% higher IPC than Zen 2 through unified 32MB L3 cache complex
• ​​PCIe 4.0 Integration​​: 128 lanes per socket for NVMe-oF and GPU passthrough configurations
• ​​Secure Encrypted Virtualization (SEV)​​: Hardware-isolated VM encryption with 256-bit keys

Performance Benchmarks and Deployment Considerations

​​Q: How does this compare to Intel Xeon Scalable equivalents?​​

The ​​UCS-CPU-A7352=​​ demonstrates:

• ​​32% higher SPECvirt_sc2013 scores​​ vs. Xeon Gold 6338 at equivalent TDP (190W)
• ​​2.1x better $/vCPU​​ in VMware vSAN clusters through AMD’s native SMT implementation
• ​​Sub-5μs latency​​ for Redis workloads via optimized memory interleaving

​​Q: What’s the maximum VM density supported?​​

• ​​1,152 VMs per chassis​​ (C220 M6): Achieved through 768 vCPU allocation with 1:1 vCPU:pCPU ratio
• ​​NVIDIA vGPU Profile Support​​: Up to 8x A16 (32GB) profiles per socket with SR-IOV partitioning

​​Q: Can it integrate with existing UCS management frameworks?​​

Yes, through:

• ​​UCS Manager 4.2+​​: Unified management of EPYC-based C-series via SNMPv3/Redfish APIs
• ​​Intersight SaaS Integration​​: Predictive failure analysis through CPU telemetry streaming

Enterprise Use Case Optimization

Hyperscale Virtualization

• ​​VMware vSphere 8​​: Leverage SEV-ES for encrypted vMotion between EPYC 7003/9004 hosts
• ​​Nutanix AHV​​: Achieve 92% storage efficiency through LZ4 compression offload

AI Inference Workloads

• ​​TensorRT Optimization​​: 4x INT8 throughput via AVX-512 VNNI extensions
• ​​FPGA Acceleration​​: Direct attach Xilinx Alveo U25x through PCIe 4.0 x16 bifurcation

Lifecycle Management and Compliance

• ​​FIPS 140-3 Level 2​​: Validated for DoD CC SRG IL5 workloads
• ​​3-Year Proactive Replacement​​: Predictive maintenance through Cisco TAC CPU telemetry analysis

Procurement and Validation

For certified enterprise deployments, ​​UCS-CPU-A7352=​​ is available here. itmall.sale provides:

• ​​Pre-configured vSAN Ready Nodes​​: Certified for VMware ESA architectures
• ​​Thermal Validation Kits​​: Ensure <35°C inlet temps in 45U Open Rack installations

Operational Realities and Cost-Benefit Analysis

The ​​UCS-CPU-A7352=​​ redefines TCO metrics but introduces nuanced management challenges. While its 128 PCIe 4.0 lanes enable unprecedented GPU:Storage ratios (4:1 in ML training clusters), fully utilizing this bandwidth requires expensive retimers in 5-meter rack layouts. The module’s 190W TDP demands liquid cooling in >40°C ambient DC environments – a configuration adding 18% to baseline CapEx.

Ephemeral computing environments benefit most from SEV-ES isolation, but key rotation cycles create 7-12% performance overhead during live migrations. For enterprises running legacy Windows Server 2016, the lack of Zen 3 scheduler optimizations negates 30% of potential gains, making platform upgrades mandatory. Ultimately, this module shines in greenfield AI/cloud deployments but requires careful workload profiling in hybrid infrastructure scenarios – a reality underscoring the need for cross-domain engineering teams in modern DC operations.