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Cisco

Cisco UCSC-885A-M8-H25 | Rack server | 8x H200 GPUs | Networking: ConnectX-7 | Memory: 3TB

SKU:UCSC-885A-M8-H25

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Description

GPU-dense rack server tailored for AI/ML with 8x NVIDIA H200 GPUs, ConnectX-7 networking, and 3TB of installed system memory. Ideal for training at scale, accelerated analytics, and complex simulations.

Features

- Eight H200 GPUs for intensive AI/ML and HPC workloads
- ConnectX-7 networking for modern, high-bandwidth fabrics
- 3TB system memory to keep large models and datasets in-memory
- Optimized for CUDA-enabled frameworks and distributed training
- Data center-ready design with scalable IO

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: Does this configuration support multi-instance GPU partitioning?
A: The platform supports NVIDIA’s GPU partitioning features where applicable; ensure driver and framework support for your use case.

Q: What networking speeds are supported with ConnectX-7?
A: ConnectX-7 adapters support next-generation high-speed networking; specific port speeds depend on the exact adapter model and optics/cabling.

Q: Is this suitable for hybrid inference and training workloads?
A: Yes. The combination of 8 GPUs and substantial memory is effective for both training and high-throughput inference.

Q: Which Linux distributions are typically used?
A: Common choices include Ubuntu and RHEL, paired with NVIDIA drivers, CUDA, and AI frameworks like PyTorch or TensorFlow.

Q: Can this be integrated into existing high-speed storage fabrics?
A: Yes, with appropriate adapters and networking, it can integrate with NVMe-over-Fabrics or parallel file systems.

Technical Specifications

- Form factor: Rack-mount server platform
- Series/platform: UCS C885A M8
- GPU accelerators: 8x NVIDIA H200
- Networking: ConnectX-7 adapters (as configured)
- System memory installed: 3 TB
- Target workloads: AI training, inference, HPC, data science
- High-speed IO for distributed training fabrics
- Management: UCS/Intersight platform support (model-dependent)
- Software stack: CUDA and popular AI frameworks on enterprise Linux
- Scalability: Expandable memory and storage (configuration-dependent)

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