Artificial Intelligence Center of Excellence
ID: RFP01-CIO-25-229
• State: Texas
Opportunity Assistant
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Description
Background
The Texas A&M University System (A&M System) is one of the largest systems of higher education in the nation, with a budget of $7.3 billion. The A&M System seeks proposals from qualified vendors interested in collaborating with NVIDIA to design, develop, and implement an Artificial Intelligence (AI) Center of Excellence (CoE). This CoE aims to serve as a hub for AI research, education, and innovation, fostering collaboration between academia and industry.
Work Details
The selected Respondent will be responsible for:
- Collaborating with NVIDIA and A&M System to ensure smooth implementation of the DGX SuperPOD solution.
- Providing local/on-site project management and coordination.
- Assisting with site preparation and infrastructure readiness assessment.
- Coordinating the delivery and installation of NVIDIA hardware components.
- Supporting NVIDIA during the physical installation and logical configuration of compute and network systems.
- Assisting with network integration and storage network connectivity, performing network testing and validation, and system operational validation tests.
- Offering local, on-site technical assistance during and after deployment.
- Conducting user training sessions in collaboration with NVIDIA.
- Assisting with documentation of the deployed solution.
- Facilitating communication between Texas A&M, NVIDIA, and other involved parties.
- Providing any value-added services not listed above.
Technical specifications include:
- Deployment of NVIDIA DGX SuperPOD with DGX H200 Systems featuring a minimum of 760 H200 GPUs capable of supporting large language models and generative AI workloads.
- High-speed networking infrastructure (e.g., InfiniBand) and scalable storage solutions with at least 10 PB usable capacity.
Additional services include end-to-end support for the entire DGX solution, training for researchers, hands-on workshops for students, certification programs in AI, and conducting a TOP500 High-Performance Linpack benchmark run.
Period of Performance
The resultant Agreement shall be effective upon execution for an initial period of three (3) years. The Agreement may be extended for additional terms upon mutual agreement in writing.
Place of Performance
The geographic location for performance is not explicitly stated but is implied to be within the Texas A&M University System.
The Texas A&M University System (A&M System) is one of the largest systems of higher education in the nation, with a budget of $7.3 billion. The A&M System seeks proposals from qualified vendors interested in collaborating with NVIDIA to design, develop, and implement an Artificial Intelligence (AI) Center of Excellence (CoE). This CoE aims to serve as a hub for AI research, education, and innovation, fostering collaboration between academia and industry.
Work Details
The selected Respondent will be responsible for:
- Collaborating with NVIDIA and A&M System to ensure smooth implementation of the DGX SuperPOD solution.
- Providing local/on-site project management and coordination.
- Assisting with site preparation and infrastructure readiness assessment.
- Coordinating the delivery and installation of NVIDIA hardware components.
- Supporting NVIDIA during the physical installation and logical configuration of compute and network systems.
- Assisting with network integration and storage network connectivity, performing network testing and validation, and system operational validation tests.
- Offering local, on-site technical assistance during and after deployment.
- Conducting user training sessions in collaboration with NVIDIA.
- Assisting with documentation of the deployed solution.
- Facilitating communication between Texas A&M, NVIDIA, and other involved parties.
- Providing any value-added services not listed above.
Technical specifications include:
- Deployment of NVIDIA DGX SuperPOD with DGX H200 Systems featuring a minimum of 760 H200 GPUs capable of supporting large language models and generative AI workloads.
- High-speed networking infrastructure (e.g., InfiniBand) and scalable storage solutions with at least 10 PB usable capacity.
Additional services include end-to-end support for the entire DGX solution, training for researchers, hands-on workshops for students, certification programs in AI, and conducting a TOP500 High-Performance Linpack benchmark run.
Period of Performance
The resultant Agreement shall be effective upon execution for an initial period of three (3) years. The Agreement may be extended for additional terms upon mutual agreement in writing.
Place of Performance
The geographic location for performance is not explicitly stated but is implied to be within the Texas A&M University System.
Overview
Opportunity ID
RFP01-CIO-25-229
Response Deadline
Dec. 27, 2024
Past Due
Date Posted
Dec. 9, 2024
Source
Est. Value Range
Experimental
$5,000,000 - $20,000,000
(AI estimate)
Agency Distribution
High
On 12/9/24 Texas A&M University System in Texas issued Artificial Intelligence Center of Excellence with ID RFP01-CIO-25-229 due 12/26/24.
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Documents
Posted documents for Artificial Intelligence Center of Excellence
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Classifications
Additional Details
Class Codes
92031-*Installation Of Computers, Peripherals, And Related Equipment (Including Software);
92037-*Networking Services (Including Installation, Security, And Maintenance);
20617-*Chips: Accelerator, Graphics, Math Co-Processor, Memory (Ram And Rom), Network, Etc.;
20623-*Communication Processors And Protocol Converters: Front-End Processor, Network Interface Module, Protocol Interchange, Switching Controls, Etc.;
20632-*Controllers, Local And Remote;
20646-*Drives: Hard/Fixed Disk;
20664-*Network Components: Adapter Cards, Bridges, Connectors, Expansion Modules and Ports, Hubs, Line Drivers, MSAUs, Routers, Switches, Transceivers, etc.;
20938-*Database Software, Mainframes and Servers;
20987-*Software, Mini/Mainframe Computer (Not Otherwise Classified);