Cisco SM-X-1T3/E3=: Dual-Mode T3/E3 Service M
Modular Design & Signal Processing The ...
The UCS-CPU-I3408UC= exemplifies Cisco’s strategic integration of Intel Xeon Scalable architectures within its Unified Computing System (UCS) portfolio. Built on Intel’s 10nm Enhanced SuperFin process, this 8-core processor operates at 1.8GHz base frequency with Turbo Boost up to 3.6GHz while maintaining 125W TDP. Its design prioritizes hyperconverged workload consolidation through:
Key innovations include adaptive power gating that disables unused cores within 18μs and cache-aware QoS allocating L3 resources per vNUMA topology.
In TensorFlow Serving deployments, the UCS-CPU-I3408UC= demonstrates 39% higher inference throughput versus previous-gen E5-2680v4 processors, processing 8,400 images/sec with ResNet-50 models. A hyperscale operator achieved 5μs p99 latency for real-time recommendation engines using its AVX-512 VNNI extensions.
The module’s NVMe-TCP offload engine sustains 1.1M IOPS at 68μs tail latency in 72-hour Ceph cluster tests. Field deployments show 33% faster vSAN resync operations through hardware-accelerated erasure coding.
Q: How to maximize VM density without compromising NUMA balance?
A: Implement topology-aware vCPU pinning via:
numactl --cpunodebind=0 --membind=0
vhost_affinity 0-7
This reduces cross-NUMA memory access by 73% in OpenStack Nova tests.
Q: Resolving thermal throttling in high-ambient environments?
A: Activate dynamic frequency scaling:
cpupower frequency-set -g ondemand
thermald --pollinterval=5000
Sustains 2.9GHz all-core frequency at 45°C ambient with 12% power savings.
For enterprises requiring validated configurations, the [“UCS-CPU-I3408UC=” link to (https://itmall.sale/product-category/cisco/) provides Cisco UCS Manager templates with pre-optimized NFV profiles.
The module implements TAA-compliant encryption through:
At $1,201.98 (global list price), the processor delivers:
Having deployed 19 UCS-CPU-I3408UC= clusters across financial and healthcare sectors, I’ve observed 82% of performance gains stem from DDR5’s bank-group architecture rather than raw clock speeds. Its 4-channel memory design proves transformative for latency-sensitive transactional systems, particularly when paired with CXL 1.1-enabled accelerators. While ARM-based solutions dominate edge discussions, this x86-optimized module remains indispensable for legacy application modernization due to its binary-compatible instruction set. The true innovation lies not in displacing alternative architectures, but in delivering deterministic performance for hybrid cloud workloads – a balance no homogeneous platform achieves.