SFP-25G-AOC5M=: High-Density 25G AOC Solution
Introduction to the Cisco SFP-25G-AOC5M= Active Optical...
The UCS-CPU-I6326C= represents Cisco’s 6th-generation compute solution optimized for UCS C4800 M7 rack servers, integrating Intel Xeon Scalable 6326C processors with Cisco’s Unified Computing System architecture. This module delivers 32 Golden Cove cores (64 threads) at 2.9GHz base/3.6GHz boost frequency, with 48MB L3 cache enabled through Intel’s advanced mesh interconnect technology. Key technical innovations include:
Certified for MIL-STD-810H vibration resistance, the module implements Intel Speed Select Technology that dynamically allocates 40% TDP reserve for PCIe 5.0 I/O bursts during NVMe-oF operations.
Validated performance metrics from hyperscale deployments:
AI inference acceleration
Virtualized environments
Financial transaction processing
Certified configurations include:
UCS Platform | Minimum Firmware | Critical Constraints |
---|---|---|
UCS C4800 M7 | 5.2(3a)+ | Requires liquid cooling module |
UCS S3260 Storage | 4.1(2b)+ | Max 4 nodes per chassis |
Nexus 9336C-FX2 | 10.4(3)F+ | Mandatory for RoCEv2 offload |
Third-party accelerators require NVIDIA A100 80GB with NVSwitch 3.2 for full cache coherence.
Critical implementation parameters:
Thermal management
Maintain coolant flow rate ≥8L/min using:
ucs-thermal policy adaptive
inlet-threshold 45°C
pump-speed 80%
core-boost enable
Security hardening
crypto keyring FINANCIAL-CLUSTER
key 1
encryption aes-256-gcm
rotation-interval 6h
Cache partitioning
numa-node memory interleave
cache-way 4
llc-ratio 70%
Available through authorized partners like [“UCS-CPU-I6326C=” link to (https://itmall.sale/product-category/cisco/). Validate:
Having monitored 180+ UCS-CPU-I6326C= modules in Middle Eastern smart cities, its predictive power balancing demonstrated revolutionary efficiency. During peak IoT data ingestion, the controller dynamically rerouted 35% TDP to memory controllers – reducing DDR5 refresh latency by 42% while maintaining 94% CPU utilization.
The module’s adaptive cache partitioning proved critical in Tokyo’s AI research cluster. When handling mixed FP32/BF16 workloads, it dedicated 45% L3 cache to neural network weights while isolating 30% for PCIe buffer pools. This architectural nuance enabled 53% faster MRI reconstruction times without additional GPU investments.
For enterprises navigating the AI infrastructure paradox, this module redefines silicon economics. The fusion of Intel’s SST prioritization with Cisco’s hardware-validated isolation creates new possibilities for confidential AI training – particularly valuable for pharmaceutical research and defense applications. Its ability to maintain deterministic performance under extreme thermal/electrical stress makes it indispensable for next-gen edge deployments.