Recruitment of a Training Provider for NVIDIA AI Infrastructure & Operations

Home Recruitment of a Training Provider for NVIDIA AI Infrastructure & Operations Recruitment of a Training Provider for NVIDIA AI Infrastructure & Operations RFP - Request for proposal Office UNDP-RWA - RWANDA Deadline 09-Nov-26 @ 07:00 AM (New York time) 09-Nov-26 @ 07:00 AM (New York time) 30-Oct-26 @ 12:00 AM (New York time) Reference Number UNDP-RWA-00426 Contact Procurement Unit - procurement.rw@undp.org Procurement Unit - procurement.rw@undp.org This specific tender is managed via the new supplier portal system of UNDP Quantum. If you are interested in submitting a bid for this tender, you must subscribe following the instructions in the user guide . If you have not registered a profile with this system, you can do so by following the link for Supplier Registration . If you already have a supplier profile, please access the negotiation using quicklink or please login to the Supplier Portal , then search for the negotiation using the reference number UNDP-RWA-00426 , following the instructions in the user guide . Introduction RECRUITMENT OF A TRAINING SERVICES PROVIDER FOR THE NVIDIA AI INFRASTRUCTURE AND OPERATIONS: DEPLOYMENT, VIRTUALIZATION, AND MANAGEMENT TRAINING Item Description Office / Unit / Project UNDP Rwanda Place Venue to be proposed by the training services provider, meeting the minimum technical and venue requirements Type of Contract Local/International Consultancy Firm Expected Duration Up to 5 months from contract signature 1. Background The UNDP, through the Timbuktoo framework, is investing in sovereign Artificial Intelligence infrastructure to expand the computational capacity of African countries and accelerate progress toward the Sustainable Development Goals. Standardized, high-performance infrastructure is being deployed in six partner countries: Rwanda, Kenya, Malawi, Zambia, Togo, and South Africa enabling local developers, researchers, and innovators to test and deploy AI solutions in priority sectors such as agriculture, climate action, ensuring localized data processing, secure storage, and technological sovereignty. In 2026, an inaugural AI infrastructure workshop was convened, bringing together technical counterparts from all six partner countries. That workshop surfaced a clear need: national technical teams require deeper, hands-on operational skills to independently deploy, virtualize, monitor, and sustain the newly installed AI/HPC infrastructure. 2. Rationale Sovereign AI infrastructure delivers value o