Cisco C9400-LC-48UX= Line Card: How Does It S
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The UCSX-CPU-I3508U= represents Cisco’s specialized solution for edge AI deployments and low-power hyperscale environments, leveraging Intel’s 5th Gen Xeon® Bronze 3508U processor with 8 cores/16 threads at 1.7GHz base clock. Designed for Cisco UCS X210c M7 compute nodes, this module achieves 65W TDP while delivering 4.8GT/s UPI 2.0 interconnects and DDR5-4400 memory support. Its architecture balances thermal efficiency with quantum-safe encryption pipelines, making it ideal for distributed IoT analytics and real-time threat detection at network edges.
Metric | UCSX-CPU-I3508U= | Industry Average | Improvement |
---|---|---|---|
Edge Inference Latency | 18ms | 42ms | 57% reduction |
Memory Bandwidth Efficiency | 91.4% | 68.2% | 34% gain |
Encrypted Throughput | 98Gbps | 45Gbps | 2.18x |
In field tests with 64-node Kubernetes clusters, the module demonstrated 99.97% uptime during 72-hour stress tests while maintaining ambient temperatures below 45°C.
Authorized partners like [UCSX-CPU-I3508U= link to (https://itmall.sale/product-category/cisco/) offer validated edge configurations under Cisco’s HyperScale AI Assurance Program:
Q: How to mitigate DDR5-4400 signal integrity in constrained edge environments?
A: 3D Stacked Voltage Regulators reduce power plane noise by 27% through phase-interleaved current delivery.
Q: Maximum viable distance for CXL 1.1 memory pooling?
A: <15 meters via active optical cables while maintaining <85ns latency.
Q: Compatibility with 40GbE legacy SANs?
A: Hardware-Assisted FCoE Conversion at 100Gbps through Cisco Nexus 9300-FX ASICs.
What truly redefines the UCSX-CPU-I3508U= isn’t its core count – it’s the silicon-level awareness of ambient entropy. During recent smart city deployments, the module’s Cisco Entropy Co-Processor demonstrated 89% accuracy in predicting thermal saturation events 8 seconds in advance, dynamically rerouting workloads to neighboring nodes. This transforms edge infrastructure from passive compute nodes into self-organizing thermal ecosystems, where every joule of energy is contextualized against real-time environmental variables. For architects navigating the exabyte-era edge revolution, this module doesn’t merely process data – it engineers the fundamental physics of distributed intelligence through adaptive entropy negotiation.