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Cisco

Cisco UCSC-885A-M8-H26 | Rack server | 8x H200 GPUs | IO: 2x B3220 + CX7 networking | Memory: 23TB

SKU:UCSC-885A-M8-H26

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Description

Enterprise AI rack server with 8x NVIDIA H200 GPUs, a blend of BlueField-class DPUs (2x B3220) and ConnectX-7 networking, and 23TB of installed system memory. Built for distributed training, secure accelerated networking, and large model pipelines.

Features

- Eight H200 GPUs for extreme parallel compute throughput
- BlueField-class DPUs for accelerated, secure data center networking
- ConnectX-7 networking for next-generation fabric performance
- Very large installed memory for handling big models and datasets
- Built for scalable, distributed AI/ML and HPC clusters

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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FAQs

Technical Specifications

FAQs

Q: What benefits do the B3220 DPUs add?
A: They can offload network, storage, and security functions from CPUs, enabling lower latency, higher throughput, and improved isolation.

Q: Is this configuration suitable for multi-node distributed training?
A: Yes, the combination of H200 GPUs and high-speed networking is designed for multi-node training with frameworks like NCCL.

Q: Can I adjust the mix of DPUs and NICs?
A: Configurations can typically be tailored; availability depends on the specific chassis and slot layout.

Q: What software is needed for GPU acceleration?
A: Install compatible NVIDIA drivers, CUDA, and libraries like cuDNN and NCCL along with your preferred AI frameworks.

Q: Does the system support standard 19-inch racks?
A: Yes, it is designed for standard 19-inch data center rack deployments.

Technical Specifications

- Form factor: Rack-mount server platform
- Series/platform: UCS C885A M8
- GPU accelerators: 8x NVIDIA H200
- IO/DPUs: 2x B3220 with ConnectX-7 networking (as configured)
- System memory installed: 23 TB
- Workloads: Distributed training, inference, HPC, data analytics
- DPU offload for networking, security, and storage services
- Designed for high-bandwidth, low-latency cluster fabrics
- Management: UCS/Intersight platform support (model-dependent)
- Software ecosystem: CUDA-enabled frameworks on enterprise Linux

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