Cisco

Cisco CAI-GPU-H200-NVL | H200 NVL | 141GB HBM3e ECC | 600W TDP | 2-slot FHFL | Passive | PCIe x16

SKU:CAI-GPU-H200-NVL

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Description

High-capacity data center accelerator tailored for large-language-model inference/training, combining 141GB HBM3e with ECC and a passively cooled 2-slot FHFL form factor. NVL design supports high-bandwidth multi-GPU scaling in qualified servers. Confirm chassis airflow and power delivery before deployment.

Features

- 141GB HBM3e ECC enabling ultra-large models
- NVL-oriented interconnect for multi-GPU scaling
- Passive cooling for dense server deployments
- Hopper-generation tensor acceleration for AI workloads
- Enterprise-grade reliability and ECC protection

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 chassis requirements apply to this GPU?
A: Requires an FHFL slot, up to 600W per-GPU power capacity, and strong front-to-back airflow. Use OEM-qualified servers and risers.

Q: Are NVL/NVLink bridges or cables included?
A: No. Bridging hardware is sold separately or integrated by the system OEM. Check the bundle content or your server BOM.

Q: Do I need specific drivers?
A: Use the vendor’s data center drivers with supported OS versions and CUDA/AI frameworks as applicable to H200 NVL.

Q: Is there any display output?
A: No. This is a compute accelerator with no external display connectors.

Q: Can it be mixed with other accelerators?
A: Mixing is possible in some cases but may reduce performance or complicate support. Matched GPUs are recommended.

Technical Specifications

- GPU architecture: Hopper-class (H200 NVL)
- Memory: 141GB HBM3e with ECC
- Thermal design power: 600W
- Form factor: 2-slot, Full-Height Full-Length (FHFL)
- Cooling: Passive (data center airflow required)
- Interface: PCIe x16
- Workloads: LLM inference/training, HPC, analytics
- Multi-GPU scaling: NVL/NVLink-oriented design

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