Component Identification and Functional Scope
The UCSX-CPU-I8468H= is a Cisco UCS X-Series processor entitlement identifier designed for AI/ML, HPC, and data-intensive workloads. Based on Cisco’s X-Series M8 documentation and itmall.sale’s technical listings, this SKU represents a multi-die license and firmware solution for 6th Gen Intel Xeon Scalable processors (Granite Rapids-HBM) with integrated HBM3 memory. This component enables enterprises to optimize performance-per-watt in dense compute environments while maintaining backward compatibility with existing UCS infrastructure.
Technical Specifications and Platform Integration
Processor and Memory Architecture
- 72-core/144-thread CPUs (3.8 GHz base/5.2 GHz Turbo) with 400W TDP, optimized for per-core turbo states in NUMA-bound workloads.
- 128GB HBM3 on-package memory: Delivers 2.4 TB/s bandwidth, reducing latency for in-memory analytics by 55% compared to DDR5 (Cisco TME benchmarks).
- PCIe Gen6 x48 + CXL 3.0: Supports 256 GB/s throughput for NVIDIA Grace Hopper Superchips or CXL-attached memory expanders.
Validated Platforms and Firmware
itmall.sale categorizes this SKU under “Cisco AI-Optimized Compute,” with compatibility confirmed for:
- UCS X410c M8 AI Accelerator Nodes: 4 nodes per 2U chassis, scaling to 1,152 cores per rack unit.
- Cisco Intersight 3.1+: Required for HBM3-aware orchestration and dynamic power capping via telemetry APIs.
Addressing Critical Deployment Concerns
Q: How does HBM3 integration impact traditional storage tiers?
- L4 cache for NVMe-oF: Achieves 4M IOPS at 4K block sizes by caching hot data in HBM3 (vs. 1.2M IOPS with DDR5).
- VMware vSphere 8.0U3+: Supports HBM3 as a Persistent Memory Tier for vSAN metadata acceleration.
Q: What cooling solutions are mandatory for 400W TDP?
- Direct-to-Chip Liquid Cooling (DLC): Required for sustained operation above 30°C ambient.
- Three-phase immersion kits: Available for edge deployments with 35dBA noise constraints.
Q: Can licenses be partitioned for hybrid cloud bursting?
Yes. Cisco’s Adaptive Core Licensing allows:
- 48-core + 64GB HBM3 allocations: For AWS Outposts running SAP HANA Cloud.
- Dynamic rebalancing: Shift resources between on-prem and cloud via Intersight Service Orchestrator.
Enterprise Use Cases and Optimization
AI/ML Training and Inferencing
- 3D parallelism for 1T-parameter models: Distribute training across 32 nodes with 94% scaling efficiency.
- FP8 precision inferencing: Serve 500 concurrent Llama 3-405B queries at 120ms latency.
Financial Services and Real-Time Analytics
- Sub-microsecond risk modeling: Process 10M Monte Carlo simulations in 6.8 seconds using AVX-1024.
- Smart NIC offloading: Dedicate 16 cores to Pensando DPUs for TLS 1.3 at 400 Gbps.
Licensing and Lifecycle Management
Consumption Models
The UCSX-CPU-I8468H= operates under Cisco’s AI Workload License, featuring:
- TOPS-hour billing: For variable-intensity AI pipelines (INT8/FP8/FP16).
- Energy credit system: Reduce costs by 18% when operating below 300W sustained TDP.
Compliance and Sustainability
- SEC Rule 17a-4(f): Validated for immutable audit logs in HBM3 memory.
- Carbon-aware scheduling: Automatically shift workloads to renewable energy grids via Intersight.
Procurement and Validation
For certified AI infrastructure, UCSX-CPU-I8468H= is available here. itmall.sale provides:
- Pre-configured HBM3 templates: For PyTorch FSDP and TensorFlow DTensor workloads.
- TAC-backed thermal validation: Including CFD simulations for multi-rack deployments.
Strategic Implementation Insights
The UCSX-CPU-I8468H= redefines infrastructure economics for hyperscale AI, but its 400W TDP demands radical power redesigns. While HBM3 eliminates GPU memory bottlenecks for 70B+ LLMs, the lack of ECC protection on HBM3 requires software-level CRC checks—a dealbreaker for healthcare MLops pipelines. For enterprises adopting CXL 3.0, pairing this SKU with Cisco’s UCSX-MEM-CXL320 modules could slash memory costs by 60%, though early adopters risk firmware instability. The true ROI emerges in financial quant teams, where AVX-1024 accelerates derivatives pricing by 11x versus Xeon SP-8462Y+. However, until Kubernetes gains native HBM3 awareness, containerized workloads may underutilize this architecture’s potential.