The vendor required to provide high performance computing and AI solutions for training and deploying various large AI models.
- Used for a broad cross-section of research, including ml, NLP, and vision, the system needs to support all common open-source AI software tools, including Pytorch, Jax, and TensorFlow.
- The system will be used for initial development, testing, and small-scale training and fine-tuning, before software is deployed to national infrastructure for larger scale work.
- Requirement:
• Supply a high-performance AI computing system equipped with high performance graphics processing units (GPUs) with highspeed connectivity that provide the capability of training large AI models.
• The system should be also equipped with high-performance CPUs supported by high-performance memory to reduce latency in loading and processing large amounts of training data.
• The system should support latest open-source software libraries for training AI models, including Pytorch, Jax, and TensorFlow;
• Deliver the system within two (2) months upon receipt of university purchase order;
• Provide remote support for the installation of the system, if needed, to institutional IT staff.
• Ensure that the system is tested for good functionality passing any necessary quality and safety testing.
- Contract Period/Term: 1 year
- Intent to Bid Due Date: January 14, 2026
- Questions/Inquires Deadline: January 06, 2026
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