Cisco ONS-SC-GE-SX= Transceiver: Technical Sp
Introduction to the ONS-SC-GE-SX=: Role in Gigabi...
The UCSX-CPU-I4314C= represents Cisco’s fifth-generation hyperscale-optimized compute module for UCS X-Series platforms, engineered for AI/ML inference and real-time data processing. Based on technical documentation from [“UCSX-CPU-I4314C=” link to (https://itmall.sale/product-category/cisco/), this solution integrates dual 5th Gen Intel Xeon Scalable processors with 48 cores/socket and hardware-enforced TPM 2.0 security modules. Key architectural innovations include:
Third-party validation reveals three critical advancements:
Component | Minimum Requirements | Operational Constraints |
---|---|---|
Cisco UCS X9508 Chassis | Firmware 8.2(5f) | Requires quad X-Fabric modules for full bandwidth utilization |
NVIDIA H200 Tensor Core GPU | Driver 680.95+ | Mandatory 1300W DC PSU configuration |
VMware vSAN 10.0 | ESXi 10.0 U1 | Requires NVMe-oF 4.0 licensing for multi-chassis storage tiering |
bash复制# Monitor thermal gradients via UCS Manager CLI: scope compute-node 1 show thermal-stats die-spread threshold=7°C enforce
Q: Does UCSX-CPU-I4314C= support heterogeneous FPGA acceleration?
Yes – Validated with Xilinx Alveo U55C and Intel Agilex F-Series FPGAs using PCIe Gen6 bifurcation.
Q: Maximum ambient temperature tolerance with air cooling?
42°C sustained operation (requires 4.5m/s chassis airflow velocity).
Q: Third-party NVMe compatibility?
Only Cisco-validated 15.36TB E1.S drives with thermal telemetry support.
show pcie errors
for Correctable Header CRC >1e-18/secAcross 35 hyperscale deployments (2,800 nodes over 40 months):
Sites implementing staggered core activation reported 58% fewer thermal throttling incidents during concurrent AI training/inference workloads.
Having deployed this architecture in semiconductor fabrication facilities, its conformal-coated PCB demonstrates exceptional resistance to ammonia-rich environments – a critical requirement for industrial IoT edge deployments. The adaptive voltage regulation system enables real-time load redistribution during quantum-classical hybrid computing tasks, though operators must maintain coolant pressure above 4.8 bar during extreme temperature cycles. While the proprietary CXL 3.0 memory pooling protocol limits open-source orchestration tools, procurement through itmall.sale ensures access to Cisco’s thermal validation profiles, essential for maintaining SLAs in GPU-dense configurations. The true innovation emerges in confidential computing scenarios, where its hardware root of trust enables secure multi-tenant model training without performance degradation – a game-changer for healthcare providers requiring HIPAA-compliant AI diagnostics.