H3C UniServer G5 GPU Acceleration Node R6900

H3C UniServer G5 GPU Acceleration Node R6900

Brand: H3C | Category: GPUs

SKU: R6900-G5-GPU | Part #: R6900-G5-GPU | MPN: R6900-G5-GPU

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About the H3C UniServer G5 GPU Acceleration Node R6900

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PCIe and SXM form factor GPU support with redundant high-efficiency power supply configuration determines server chassis and PSU compatibility for demanding acceleration workloads. The H3C UniServer G5 GPU Acceleration Node R6900-G5-GPU is a 4U rackmount server engineered for organizations requiring massive parallel compute capacity. This platform supports up to 8 GPUs in either PCIe or SXM form factor, paired with 4 Intel Xeon Scalable (4th Gen, Sapphire Rapids) processor sockets and up to 32 DIMM slots of DDR5 RDIMM/LRDIMM memory. The chassis combines high-airflow GPU thermal design with enterprise-grade 19-inch rack integration, while H3C Device Management (HDM) via dedicated management port provides centralized visibility and control across your deployment.

AI infrastructure teams, data science organizations, and HPC centers are the primary buyers for the R6900-G5-GPU because it consolidates the computational density required for AI training, AI inference, HPC workloads, and large-scale data analytics into a single 4U form factor. The combination of quad-socket CPU architecture, up to 8 GPU slots, and support for both NVMe SSD and SAS/SATA HDD storage—alongside high-speed Ethernet and optional InfiniBand networking—enables organizations to process massive datasets and complex model training without sprawling infrastructure footprints. H3C designed this platform specifically for enterprise datacenter deployment, with native support for major Linux distributions and Windows Server operating systems.

If your organization is evaluating GPU-accelerated infrastructure for mission-critical AI, HPC, or analytics workloads, the H3C UniServer G5 GPU Acceleration Node (part number R6900-G5-GPU) deserves detailed technical review. Contact Omnixon Global to request a quotation and discuss integration requirements for your datacenter environment.

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Technical Specifications

BrandH3C
CategoryGPUs
SKUR6900-G5-GPU
Part NumberR6900-G5-GPU
ConditionNew
Product LineUniServer G5
ModelR6900 GPU Acceleration Node
Manufacturer Part NumberR6900-G5-GPU
Form Factor4U Rack Server
CPU SupportIntel Xeon Scalable (4th Gen, Sapphire Rapids)
CPU Sockets4
GPU SupportPCIe and SXM form factor high-performance GPUs (vendor-specific GPU modules)
Maximum GPU CountUp to 8 GPUs
Memory TypeDDR5 RDIMM / LRDIMM
Memory SlotsUp to 32 DIMM slots
Storage InterfaceNVMe SSD, SAS/SATA HDD support
Network InterfaceHigh-speed Ethernet and InfiniBand optional
Management InterfaceH3C HDM (H3C Device Management) via dedicated management port
Power SupplyRedundant high-efficiency PSU configuration
Chassis4U rackmount chassis with high-airflow GPU thermal design
Operating System SupportLinux (major enterprise distributions); Windows Server
Target WorkloadsAI Training, AI Inference, HPC, Data Analytics
ComplianceDesigned for enterprise datacenter deployment; supports standard 19-inch rack integration

Frequently Asked Questions about H3C UniServer G5 GPU Acceleration Node R6900

What does the H3C UniServer G5 GPU Acceleration Node R6900 do?

The H3C UniServer G5 GPU Acceleration Node R6900 accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.

What are the headline specs of the H3C UniServer G5 GPU Acceleration Node R6900?

Key specifications for the H3C UniServer G5 GPU Acceleration Node R6900: new condition; raid support H100; gpu support NVIDIA H100; gpu count 0x; ai optimized Yes. Manufacturer part number R6900-G5-GPU. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.

Is the H3C UniServer G5 GPU Acceleration Node R6900 compatible with my infrastructure?

The H3C UniServer G5 GPU Acceleration Node R6900 requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.