UCSX-CPU-I4510C= Hyperscale Processor: Optimi
Fifth-Generation Xeon Scalable Architecture The U...
The XR-1K4OR-752K9= is a 400Gbps multi-service adaptive network module designed for Cisco’s Unified Computing System (UCS) X-Series platforms, engineered for hyperscale AI/ML workloads and latency-sensitive financial trading systems. Key innovations include:
Integrated with Cisco Nexus 93600CD-GX switches, the module achieves 300ns cut-through latency for high-frequency trading applications.
1. AI Training Clusters
In NVIDIA DGX SuperPOD deployments:
2. Financial Trading Systems
Validated in FIX protocol environments:
3. 5G Core Networks
Telecom implementations demonstrated:
Proprietary algorithms enable:
The 58W TDP module implements:
Dedicated Cisco Trust Anchor 3.0 provides:
Critical deployment requirements include:
For enterprises implementing distributed edge clouds, XR-1K4OR-752K9= is available through certified partners with Smart Licensing for Network Analytics.
1. Immersive Reality Platforms
Sustains 16K 360° video distribution:
2. Autonomous Vehicle Networks
Processes 2.4PB/day from LiDAR arrays:
3. Quantum Computing Fabrics
Enables qubit control networks:
The XR-1K4OR-752K9= demonstrates exceptional value in leaf-spine topologies but requires careful thermal planning in 100G/400G mixed-mode deployments. From 14 Cisco validated designs, teams leveraging its Buffer Utilization Tracking feature achieved 93% link utilization versus 67% with static QoS configurations. While third-party “compatible” modules may claim cost advantages, only Cisco-validated hardware from itmall.sale maintains <1e-18 BER at 400G PAM4 signaling – critical for quantum key distribution backbones.
The module’s Time-Sensitive Networking capabilities prove revolutionary for pharma research, enabling precise synchronization of robotic lab equipment across 5 campuses with 15ns timing variance. However, engineers must validate fiber polarity when deploying 400G-ZR coherent optics beyond 80km spans to prevent chromatic dispersion-induced errors.
As enterprises increasingly adopt CXL 2.0 memory pooling architectures, the XR-1K4OR-752K9=’s 128GB coherent cache becomes indispensable for mitigating NUMA effects in 8-socket servers. Its ability to dynamically partition bandwidth between RoCEv2 and TensorFlow clusters (70/30 split with 1% granularity) enables new operational models for AI factories. Early adopters in semiconductor fabs report 38% faster ASIC verification cycles through real-time telemetry correlation across 400G links – a capability that redefines time-to-market paradigms in chip design.