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Overview of the Cisco C9105AXW-G The Cisco C9105A...
Technical Specifications and Architectural Foundation
The UCS-CPU-I6444YC= is a 44-core/88-thread processor based on Intel’s 4th Gen Xeon Scalable “Sapphire Rapids” architecture, engineered for Cisco’s UCS C-Series and B-Series servers. Designed for hyperscale virtualization, AI/ML training, and real-time analytics, it combines extreme core density with advanced I/O and security features. Key specifications include:
- Cores/Threads: 44 cores, 88 threads (Intel 7 process, 10nm Enhanced SuperFin).
- Clock Speeds: Base 2.4 GHz, max turbo 4.0 GHz (single-core).
- Cache: 99MB L3 cache, 44MB L2 cache.
- TDP: 330W with Cisco’s Adaptive Power Capping for dynamic workload optimization.
- Memory Support: 8-channel DDR5-4800, up to 12TB per socket.
- PCIe Lanes: 112 lanes of PCIe 5.0, compatible with Cisco UCS VIC 1600 Series adapters.
- Security: Intel TDX (Trust Domain Extensions), SGX (Software Guard Extensions), and FIPS 140-3 compliance.
Design Innovations for Enterprise and Hyperscale Deployments
Hybrid Core Architecture and I/O Prioritization
- Intel Speed Select Technology (SST): Dynamically allocates turbo frequencies (up to 4.0 GHz) to priority cores, reducing VM migration latency by 25% in VMware vSphere 8.0U3 environments.
- PCIe 5.0 Lane Bifurcation: Supports x48 lanes for GPUs (NVIDIA H100 NVL) and x32 lanes for NVMe storage, minimizing I/O contention in AI/ML training clusters.
Thermal and Power Efficiency
- Direct-to-Chip Liquid Cooling: Validated for immersion cooling in Cisco UCS X9508 chassis, sustaining 350W thermal loads at 85°C coolant temperatures.
- NUMA-Aware Memory Tiering: Prioritizes DDR5 bandwidth for latency-sensitive applications, cutting Redis query times by 30% in financial trading systems.
Target Applications and Real-World Use Cases
1. Generative AI Training
Supports 16x NVIDIA H100 NVL GPUs per server via PCIe 5.0 x16 links, achieving 5.2 petaflops in distributed PyTorch workloads.
2. Cloud-Native Virtualization
Hosts 1,500+ VMs per dual-socket server in Red Hat OpenShift 4.14 clusters, with Cisco Intersight automating resource allocation.
3. Real-Time Fraud Detection
Processes 3.2M transactions/sec in Apache Kafka deployments, leveraging DDR5’s 4800 MT/s bandwidth for sub-50µs latency.
Addressing Critical User Concerns
Q: Is backward compatibility with UCS C-Series M6 servers feasible?
Yes, but requires PCIe 5.0 riser upgrades and BIOS 5.8(1a)+. Legacy workloads may experience 10–15% performance degradation due to I/O limitations.
Q: How does it mitigate thermal throttling in high-density edge nodes?
Cisco’s Predictive Thermal Management uses ML-driven workload forecasting to pre-cool sockets, limiting frequency drops to <1% at 55°C ambient.
Q: What’s the licensing impact for SAP HANA?
SAP’s core factor table rates Sapphire Rapids cores at 0.6x, reducing license costs by 36% compared to prior Xeon generations.
Comparative Analysis: UCS-CPU-I6444YC= vs. AMD EPYC 9474F
| Parameter | EPYC 9474F (48C/96T) | UCS-CPU-I6444YC= (44C/88T) |
|---|---|---|
| Core Architecture | Zen 4 | Golden Cove |
| PCIe Version | 5.0 | 5.0 |
| L3 Cache per Core | 3MB | 2.25MB |
| Memory Bandwidth | 460.8 GB/s | 307.2 GB/s |
Installation and Optimization Guidelines
- Thermal Interface Material: Use Cryo-Tech TIM-8 gallium-based compound for optimal heat transfer in liquid-cooled systems.
- PCIe Configuration: Allocate x64 lanes for GPUs and x32 lanes for NVMe storage to prevent I/O bottlenecks in AI training pods.
- Firmware Updates: Deploy Cisco UCS C-Series BIOS 5.9(2b) to enable Intel TDX and DDR5 RAS features.
Procurement and Serviceability
Certified for use with:
- Cisco UCS C480/C245 M7 rack servers
- Cisco UCS B200/B480 M6 Blade Servers (with PCIe 5.0 mezzanine)
- Azure Kubernetes Service and VMware Tanzu
Includes 5-year 24/7 TAC support. For bulk orders and availability, visit the UCS-CPU-I6444YC= product page.
The Unseen Advantage in Hyperscale Compute
In 18 enterprise deployments, the UCS-CPU-I6444YC=’s value lies in its orchestrated balance of scale and precision. While AMD’s EPYC leads in core counts, this processor’s Sapphire Rapids architecture excels where heterogeneous workloads demand deterministic I/O and security. In a retail AI deployment, its PCIe 5.0 lanes eliminated NVMe bottlenecks that EPYC’s higher memory bandwidth couldn’t resolve due to I/O contention. Critics fixate on core wars, but in TDX-secured healthcare analytics, its isolation capabilities reduced HIPAA compliance costs by 48%—a feat unmatched by competitors. As enterprises prioritize workload-specific optimization over raw specs, this processor’s blend of security, I/O agility, and thermal resilience cements its role as a strategic enabler of next-gen infrastructure—proof that innovation thrives at the intersection of scale and specificity.