Request for Proposal For Purchase Acquire And Deploy Ai/Ml Infrastructure To Enable Training And Inference Workloads

Request for proposals for Purchase Acquire and Deploy Ai/Ml Infrastructure to Enable Training and Inference Workloads Bids Submission From Mon, 18-May-2026 10:00 AM To Mon, 01-Jun-2026 03:00 PM The College of Information Technology (CIT) at UAE University plays a crucial role in driving innovation and advancing scientific knowledge in AI and machine learning. Generative AI (gen AI) and large language models (LLMs) are revolutionizing our personal and professional lives. Recently, there has been a growing need for AI model development and to use them for research and productivity purposes. There is also a growing need among researchers and students for LLM services, such as GPT and Gemini. This proposal details the deployment of a Slurm-managed, hybrid GPU cluster specifically optimized for frontier AI architectures. By integrating the built-in container orchestration and advanced resource management capabilities of Slurm, the College of Information Technology (CIT) aims to provide an ideal platform for managing and scaling complex Large Language Model (LLM) workloads. This infrastructure is designed to leverage high-performance containerization to streamline the deployment, operational scaling, and training of LLM inference systems. To maintain UAEUs competitive edge in scientific research, this Request for Proposal (RFP) seeks to acquire a state-of-the-art HGX B200 GPU-based server and associated ecosystem. The GPU-accelerated computing power of the HGX B200 will significantly enhance researchers ability to train large-scale neural networks and process massive datasets with unprecedented efficiency, providing a scalable foundation for future hardware expansion. Tender Link : https://eprocurement.uaeu.ac.ae/p_tenders.jsp