High-Density AI GPU Server Solution – xFusion FusionServer G5500 V6 with 8× NVIDIA A800 80GB SXM4, Dual Intel Xeon Gold 6330 and NVMe Storage
  • 产品分类:服务器
  • 零件编号:xFusion FusionServer G5500 V6
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  • 状况:全新
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Title

High-Density AI GPU Server Solution – xFusion FusionServer G5500 V6 with 8× NVIDIA A800 80GB SXM4, Dual Intel Xeon Gold 6330 and NVMe Storage

Keywords

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Description

The xFusion Server FusionServer G5500 V6 is a purpose-built GPU server designed for modern AI, deep learning, scientific computing, and large-scale model training workloads. Featuring dual Intel Xeon Gold 6330 processors and an advanced GPU architecture, this enterprise-class platform delivers exceptional compute density for organizations seeking a reliable AI server with outstanding scalability and performance.

Equipped with 8 × NVIDIA A800 80GB SXM4 customized accelerators, this A800 server provides massive parallel processing capabilities for generative AI, transformer models, recommendation engines, computer vision, and natural language processing. The integrated SXM4 GPU design offers superior bandwidth and interconnect performance compared to standard PCIe-based solutions, making it an ideal AI training server for demanding enterprise workloads.

Powered by 2 × Intel Xeon Gold 6330 processors and 256GB DDR4 ECC memory, the system delivers balanced CPU performance alongside GPU acceleration. Organizations deploying large language model servers, inference clusters, and advanced analytics platforms benefit from the server's ability to process large datasets while maintaining excellent responsiveness and workload efficiency.

The inclusion of dual 3.84TB NVMe SSDs ensures ultra-fast data access and reduced storage latency for AI datasets, model checkpoints, and high-performance computing applications. Combined with the Mellanox ConnectX-6 100GbE networking adapter, this GPU computing server enables high-speed communication between nodes, making it suitable for distributed AI clusters, HPC environments, and enterprise-scale cloud infrastructure.

Designed for continuous operation in modern data centers, the FusionServer G5500 V6 features four redundant 2000W power supplies to support the substantial power requirements of eight SXM4 GPUs while ensuring maximum availability. Whether you are looking to buy GPU server solutions for AI research, cloud services, or enterprise AI deployment, this configuration offers exceptional value, scalability, and long-term reliability.

Key Features

  • 8 × NVIDIA A800 80GB SXM4 customized GPUs for advanced AI and machine learning workloads
  • Dual Intel Xeon Gold 6330 processors delivering 56 total cores and 112 threads
  • 256GB DDR4 ECC Registered Memory for stable enterprise operation
  • Mellanox ConnectX-6 100GbE high-speed networking adapter
  • 2 × 3.84TB NVMe SSDs for high-performance storage access
  • Four 2000W redundant power supplies for maximum uptime
  • Optimized for AI training, HPC, deep learning, and large-scale inference
  • Enterprise-grade thermal design supporting continuous GPU workloads
  • Suitable for AI clusters, cloud platforms, and research institutions
  • Scalable architecture for future expansion and deployment flexibility

Configuration

Component Specification
Server Model xFusion FusionServer G5500 V6
Processors 2 × Intel Xeon Gold 6330
Total CPU Cores 56 Cores / 112 Threads
Memory 4 × 64GB DDR4 ECC RDIMM (256GB Total)
GPU Accelerators 8 × NVIDIA A800 80GB SXM4 Customized Edition
Network Adapter Mellanox ConnectX-6 100GbE
Storage 2 × 3.84TB NVMe SSD
Power Supplies 4 × 2000W Redundant PSU
Form Factor High-Density AI GPU Server
Application Type AI Training, Deep Learning, HPC, Large Language Models

Compatibility

The FusionServer G5500 V6 supports modern AI frameworks including TensorFlow, PyTorch, CUDA, RAPIDS, NVIDIA AI Enterprise, Kubernetes, Docker, VMware, Ubuntu Server, Red Hat Enterprise Linux, CentOS, Rocky Linux, and other enterprise operating systems. It is fully compatible with distributed training platforms, AI inference engines, cloud-native environments, and HPC cluster deployments.

Usage Scenarios

Organizations building advanced deep learning servers can leverage the 8 × NVIDIA A800 GPUs to accelerate model training for computer vision, speech recognition, recommendation systems, and natural language processing applications.

Cloud service providers deploying cloud AI servers benefit from the system's high-density architecture, enabling efficient allocation of GPU resources across multiple customers and AI workloads while maintaining enterprise-level reliability.

Research institutes and universities requiring a powerful HPC server can utilize the platform for scientific simulations, genomics analysis, engineering computation, weather modeling, and large-scale numerical processing.

Businesses building an A800 GPU cluster can deploy multiple FusionServer G5500 V6 systems interconnected through high-speed ConnectX-6 networking to create scalable AI infrastructure capable of supporting next-generation foundation models.

Enterprise customers seeking a reliable data center server for AI inference, business intelligence, and advanced analytics will benefit from the combination of enterprise-grade redundancy, high-speed storage, and powerful GPU acceleration.

Frequently Asked Questions

Q1: How many GPUs are installed in this FusionServer G5500 V6 configuration?

A1: The server includes 8 × NVIDIA A800 80GB SXM4 GPUs, making it suitable for large-scale AI training and HPC environments.

Q2: Is this GPU server suitable for large language model training?

A2: Yes. The combination of 8 A800 GPUs, dual Intel Xeon Gold 6330 processors, high-speed NVMe storage, and 100GbE networking makes it highly effective for LLM training and inference workloads.

Q3: Can this server be integrated into an AI cluster?

A3: Yes. The Mellanox ConnectX-6 100GbE adapter enables low-latency, high-bandwidth communication for multi-node AI and HPC cluster deployments.

Q4: What operating systems are supported?

A4: The platform supports Ubuntu, Red Hat Enterprise Linux, Rocky Linux, CentOS, VMware ESXi, and other enterprise operating systems commonly used in AI and data center environments.

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