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All Sales are final.Cancellations are accepted within 3 days of placing the order. For more information, please review our Terms of Sale & Conditions policy.
Order Processing Guidelines:

Inquiry First – Please reach out to our team to discuss your requirements before placing an order.
Official Purchase Order (PO) Required – All orders must be processed using an official PO.
Lead Time Delivery Confirmation – Lead times and delivery schedules must be verified with our team before finalizing the order.

Contact our sales team for bulk order inquiries and lead time detailsCall+1 833 631 7912

Product Information

Built for next-generation AI at unprecedented scale

The NVIDIA GB300 NVL72 by HPE is a next-generation rack-scale AI system engineered to support the most advanced generative AI, foundation models, and high-performance computing workloads. Powered by NVIDIA Grace CPUs and NVIDIA Blackwell Ultra GPUs, this platform delivers extreme compute density, high-bandwidth memory, and ultra-fast interconnects for large-scale AI training and inference.

Rack-scale architecture for extreme performance

The NVIDIA GB300 NVL72 by HPE features a fully integrated rack-scale architecture combining NVIDIA Grace CPUs with NVIDIA Blackwell Ultra GPUs interconnected via NVIDIA NVLink™ and high-speed fabric. This tightly coupled design enables massive parallelism, low-latency communication, and exceptional throughput required for trillion-parameter models, advanced simulations, and data-intensive AI workloads.

Accelerate AI innovation with HPE and NVIDIA

Designed for hyperscale and enterprise AI environments, the NVIDIA GB300 NVL72 by HPE simplifies deployment and operations while maximizing performance, scalability, and energy efficiency. Supported by HPE services and NVIDIA AI software, this platform enables faster insights and accelerates innovation across generative AI, analytics, and HPC use cases.

  • Rack-scale system with NVIDIA Grace CPU and Blackwell Ultra GPU architecture
  • NVIDIA NVLink™ fabric for high-bandwidth, low-latency GPU communication
  • Optimized for large language models, generative AI, and HPC workloads
  • Integrated HPE management, services, and enterprise-grade reliability
Unlock the Power of AI with Advanced Server Technology
Harness cutting-edge AI processing, enhanced machine learning capabilities, and scalable infrastructure with AI servers designed for seamless integration into any environment. Our AI servers empower businesses to process vast datasets, accelerate innovation, and achieve optimal performance for both research and enterprise applications.
01
Unmatched Processing Power for AI Workloads
Unmatched Processing Power for AI Workloads

Our AI servers are built to handle the most demanding AI applications, offering industry-leading computational power for tasks like machine learning, deep learning, and neural network training. With optimized performance, you can accelerate your AI projects and process vast amounts of data with ease.

02
Seamless AI Integration and Flexibility
Seamless AI Integration and Flexibility

Easily integrate AI capabilities into your existing infrastructure with our AI servers, designed for smooth compatibility with major AI frameworks and software. Whether for research, development, or real-time applications, our servers provide the flexibility to support AI innovation across diverse industries.

03
Energy-Efficient AI Performance
Energy-Efficient AI Performance

Maximize output while minimizing energy consumption with our AI servers, engineered to deliver top-tier performance while maintaining energy efficiency. Perfect for businesses looking to balance cutting-edge technology with sustainable operations, our servers help reduce costs without compromising on power.

04
Scalable Solutions for Growing AI Demands
Scalable Solutions for Growing AI Demands

As your AI needs grow, so does our server capacity. Our scalable AI server solutions allow your business to expand its AI infrastructure seamlessly, ensuring consistent performance and adaptability as your data processing and AI workloads increase.

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