- Country: USA
- Summary: Artificial Intelligence AI inference system
- UST Ref No: 127494041
- Deadline: 09 Oct 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.:
- Purchaser's Detail:Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details.
- Description:
- UChicago Argonne, LLC, which operates Argonne National Laboratory for the U.S. Department of Energy, intends to procure high-performance artificial intelligence inference computing technology. The procurement includes OEM proprietary compute blades (servers), specialized interconnect technology, installation, integration, and support services. Interested parties may identify their interest and capability to respond to this requirement in writing no later than October 09, 2025. Contact Information Primary Point of Contact Court Atkinson Email atkinson@anl.gov Phone Number 6302523388 Alternative Point of Contact Sandy Smith Email sweso@anl.gov Phone Number 6302520979 Contracting Office Address 9700 S. Cass Ave (No Street Address 2) Lemont, IL 60439 USA Attachments/LinksLinks No links have been added to this opportunity. Attachments No attachments have been added to this opportunity.
- Documents:
If you are registered member, kindly login to view full details of this tender notice:
CLICK HERE TO LOGINArtificial Intelligence AI inference system - USA Tender
The ENERGY, DEPARTMENT OF, a Government sector organization in USA, has announced a new tender for Artificial Intelligence AI inference system. This tender is published on USARFP under UST Ref No: 127494041 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-10-09.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
