xFusion G5500 V6 AI GPU Server with Dual Intel Xeon Gold 6330, 8× NVIDIA A800 80GB SXM4, 200Gb InfiniBand & NVMe Storage
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  • Numero parte:xFusion G5500 V6
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xFusion G5500 V6 AI GPU Server with Dual Intel Xeon Gold 6330, 8× NVIDIA A800 80GB SXM4, 200Gb InfiniBand & NVMe Storage

Title

xFusion G5500 V6 AI GPU Server | Dual Intel Xeon Gold 6330 | 8× NVIDIA A800 80GB SXM4 | 200Gb HDR InfiniBand | Enterprise Deep Learning Server

Keywords

xFusion G5500 V6, GPU server, AI server, NVIDIA A800, A800 80GB, SXM4 GPU server, Deep Learning Server, AI training server, Machine Learning Server, Inference Server, xFusion server, Intel Xeon Gold 6330, InfiniBand server, NVMe server, Enterprise GPU Server, buy GPU server, servers for sale, AI infrastructure, HPC server, buy server hardware

Description

The xFusion G5500 V6 is a next-generation AI server purpose-built for large-scale deep learning, generative AI, scientific computing, and enterprise GPU acceleration. Equipped with dual Intel Xeon Gold 6330 processors and eight customized NVIDIA A800 80GB SXM4 GPUs, this enterprise-class GPU server delivers exceptional parallel computing performance for demanding AI workloads. Organizations planning to buy GPU server infrastructure can leverage this platform for high-density GPU computing with outstanding scalability.

Designed specifically for modern AI training server deployments, the system combines four 64GB ECC memory modules with dual 3.84TB enterprise NVMe SSDs to provide fast data access and reliable storage performance. The eight A800 80GB SXM4 GPUs are interconnected through a high-bandwidth GPU architecture, enabling efficient distributed training of large language models, recommendation systems, computer vision, and multimodal AI applications. As a powerful Machine Learning Server, the G5500 V6 is optimized for enterprise AI infrastructure.

Networking performance is equally impressive thanks to the integrated NVIDIA Mellanox ConnectX-6 100Gb HDR InfiniBand adapter. This InfiniBand server supports ultra-low latency communication between GPU nodes, making it ideal for HPC clusters, distributed AI training, and data center deployments. Businesses building high-performance AI infrastructure can benefit from exceptional throughput and efficient GPU communication across multiple servers.

Power stability is ensured by four redundant 2000W power supplies, providing sufficient capacity for continuous high-load GPU computation while maintaining enterprise-level reliability. Combined with advanced thermal management and high-density SXM4 GPU architecture, the Enterprise GPU Server is engineered for 24/7 operation in mission-critical AI environments where performance and uptime are essential.

Whether deployed for LLM training, AI inference, autonomous driving research, biomedical computing, cloud AI services, or scientific simulations, the xFusion G5500 V6 provides an ideal foundation for modern GPU computing. Organizations searching for servers for sale, enterprise AI clusters, or premium buy server hardware solutions will find this configuration delivers exceptional computing density, scalability, and long-term investment value.

Key Features

  • xFusion G5500 V6 enterprise AI GPU server platform.
  • Dual Intel Xeon Gold 6330 processors.
  • 8 × NVIDIA A800 80GB SXM4 custom GPUs.
  • 256GB ECC Registered Memory (4 × 64GB).
  • 2 × 3.84TB Enterprise NVMe SSDs.
  • NVIDIA Mellanox ConnectX-6 100Gb HDR InfiniBand networking.
  • Four 2000W redundant hot-swappable power supplies.
  • Designed for AI training, LLM development, HPC, and GPU virtualization.
  • Optimized for large-scale distributed deep learning workloads.
  • Enterprise-class thermal design supporting continuous high-performance computing.

Configuration

Component Specification
Server Model xFusion G5500 V6
Processors 2 × Intel Xeon Gold 6330
CPU Cores 28 Cores / 56 Threads per CPU (56 Cores Total)
Memory 256GB ECC Registered (4 × 64GB)
GPU 8 × NVIDIA A800 80GB SXM4 Custom Edition
GPU Memory 640GB Total HBM Memory
Storage 2 × 3.84TB Enterprise NVMe SSD
Networking Mellanox ConnectX-6 HDR 100Gb InfiniBand
Power Supply 4 × 2000W Redundant Power Supplies
Application AI Training, LLM, HPC, Deep Learning, Scientific Computing

Compatibility

  • NVIDIA CUDA and CUDA-X software ecosystem.
  • NVIDIA AI Enterprise platform.
  • PyTorch, TensorFlow, MXNet, PaddlePaddle, JAX.
  • VMware, Red Hat Enterprise Linux, Ubuntu Server, Rocky Linux.
  • Kubernetes AI clusters and containerized environments.
  • Distributed GPU clusters utilizing HDR InfiniBand networking.
  • Large Language Model (LLM) development frameworks.
  • Enterprise AI cloud and HPC infrastructures.

Usage Scenarios

The xFusion G5500 V6 is ideally suited for enterprise AI training server deployments, enabling organizations to train large language models, foundation models, and generative AI applications using eight interconnected NVIDIA A800 SXM4 GPUs.

For research institutions and supercomputing centers, this HPC server provides outstanding floating-point performance for scientific simulations, climate modeling, genomics, computational chemistry, and engineering analysis where massive GPU parallelism is essential.

Cloud service providers and AI platform operators can deploy the Enterprise GPU Server for GPU virtualization, AI inference services, model hosting, and high-density GPU resource sharing. Its HDR InfiniBand connectivity enables efficient scaling across multiple AI nodes.

Organizations building private AI infrastructure can leverage the Machine Learning Server for recommendation engines, intelligent manufacturing, autonomous driving development, computer vision, financial modeling, and real-time inference applications requiring exceptional GPU throughput.

Customers looking to buy GPU server hardware with enterprise reliability, outstanding scalability, and modern AI acceleration will find the xFusion G5500 V6 an excellent platform for future-proof data center deployments and advanced artificial intelligence workloads.

Frequently Asked Questions

Q1: Is the xFusion G5500 V6 suitable for Large Language Model (LLM) training?

A1: Yes. The system features eight NVIDIA A800 80GB SXM4 GPUs connected through a high-bandwidth architecture, making it ideal for training and fine-tuning large language models and generative AI applications.

Q2: Which AI frameworks are supported?

A2: The server supports CUDA, PyTorch, TensorFlow, JAX, PaddlePaddle, MXNet, NVIDIA AI Enterprise, and other mainstream AI development frameworks.

Q3: Can this server be integrated into a GPU cluster?

A3: Yes. The Mellanox ConnectX-6 HDR 100Gb InfiniBand adapter enables low-latency, high-bandwidth communication for distributed GPU clusters and enterprise HPC environments.

Q4: What workloads is this GPU server designed for?

A4: It is optimized for AI model training, machine learning, LLM development, computer vision, natural language processing, scientific computing, autonomous driving research, GPU virtualization, and enterprise AI cloud infrastructure.

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