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Introducing Gilbreth: Scalable GPU Clusters for Advanced AI Computing

Discover the power of GPU Clusters with Gilbreth, Purdue’s cutting-edge solution for high-performance AI computing. Enhance your AI projects with scalable infrastructure designed to meet the demands of advanced applications.

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Explore Gilbreth, Purdue’s new scalable GPU clusters designed to optimize high-performance computing for advanced AI applications.

Overview of Gilbreth

Gilbreth stands at the forefront of AI infrastructure, offering a robust and scalable GPU Cluster solution tailored for communities engaged in GPU-intensive tasks like machine learning and deep learning. Built with Dell compute nodes equipped with Intel Xeon processors and Nvidia Tesla GPUs, Gilbreth ensures unparalleled performance and reliability for your AI projects.

Hardware Specifications

Heterogeneous GPU Architecture

Gilbreth boasts a diverse range of GPUs, including Nvidia V100, A100, A10, A30, and the latest H100 models. This heterogeneous setup allows users to select the optimal GPU type for their specific workloads, ensuring efficiency and cost-effectiveness.

High-Speed Connectivity

All Gilbreth nodes are interconnected via 100 Gbps Infiniband, facilitating rapid data transfer and minimizing latency. This high-speed network infrastructure is crucial for large-scale AI computations and distributed training models.

Detailed Node Configuration

Sub-Cluster Nodes Cores per Node Memory per Node GPUs per Node GPU Memory per Card Retirement Year
B 16 24 192 GB 3 A30 24 GB 2027
C 3 20 768 GB 4 V100 32 GB 2024
G 12 128 512 GB 2 A100 40 GB 2026

Note: Gilbreth includes multiple sub-clusters (A-M) each tailored with specific GPU configurations to address diverse computational needs.

Namesake: Honoring Lillian Moller Gilbreth

Named after Lillian Moller Gilbreth, Purdue’s first female engineering professor, Gilbreth embodies her legacy of innovation and dedication. Her contributions to engineering and psychology continue to inspire advancements in AI and computational research.

Software Environment

Gilbreth operates on CentOS 7, utilizing Slurm (Simple Linux Utility for Resource Management) as its batch scheduler. This ensures efficient resource allocation and job management for all users. The system supports unlimited stack usage and core dump sizes, subject to disk space and server quotas.

  • Intel/17.0.1.132 Compiler
  • MKL (Math Kernel Library)
  • Intel MPI (Message Passing Interface)

These tools are pre-loaded, ensuring a seamless setup for parallel and high-performance computing tasks.

Access and Provisioning

Gaining access to Gilbreth is straightforward. Interested users can purchase access through the Cluster Access Purchase page. Additionally, subscribing to the Community Cluster Program Mailing List or contacting the support team at rcac-cluster-purchase@lists.purdue.edu provides updates and assistance.

Integrating Gilbreth with NetMind AI Solutions

NetMind AI offers a platform that complements Gilbreth’s GPU Clusters by providing flexible AI integration options and robust inference capabilities. Through model API services encompassing image, text, audio, and video processing, organizations can maximize the potential of their AI projects leveraging Gilbreth’s high-performance infrastructure.

Key Features of NetMind AI

  • NetMind ParsePro: Efficient PDF conversions facilitating seamless AI agent integrations.
  • Model Context Protocol (MCP): Enhanced communication between AI models.
  • Scalable GPU Clusters: Optimized computation resources aligning with Gilbreth’s offerings.
  • NetMind Elevate Program: Grants up to $100,000 in monthly credits, empowering startups with essential AI resources.

Benefits for Advanced AI Applications

The collaboration between Gilbreth’s GPU Clusters and NetMind AI’s platform delivers a robust solution for enterprises and startups alike. Key advantages include:

  • Scalability: Easily adjust computational power to match project demands.
  • Efficiency: High-speed interconnects and advanced GPUs reduce processing times.
  • Cost-Effectiveness: Competitive pricing models ensure accessible AI solutions.
  • Enhanced Productivity: Streamlined integration processes and comprehensive support accelerate AI development cycles.

Conclusion

Gilbreth represents a significant advancement in AI infrastructure, providing scalable and powerful GPU Clusters essential for modern AI computing challenges. When paired with NetMind AI’s comprehensive platform, organizations can unlock unprecedented potential in their AI endeavors.

Ready to elevate your AI projects? Explore how Gilbreth and NetMind AI can transform your computing capabilities. Visit NetMind AI today to get started!

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