Inactive
Notice ID:1333ND22QNB640488
Question - In line item 0001, can the four (4) GPUs be PCIe? Response - Yes, they can. All other terms and conditions remain unchanged. COMBINED SYNOPSIS/SOLICITATION 1333ND22QNB640488 High-Performanc...
Question - In line item 0001, can the four (4) GPUs be PCIe? Response - Yes, they can. All other terms and conditions remain unchanged. COMBINED SYNOPSIS/SOLICITATION 1333ND22QNB640488 High-Performance Computer Systems This is a combined synopsis/solicitation for commercial items prepared in accordance with the format in FAR Subpart 12.6- Streamlined Procedures for Evaluation and Solicitation for Commercial Items, as supplemented with additional information included in this notice. This announcement constitutes the only solicitation; quotations are being requested, and a separate written solicitation document will not be issued. This solicitation is being issued under the authority of FAR Part 13, Simplified Acquisition Procedures. This solicitation is a Request for Quotations (RFQ). The solicitation document and incorporated provisions and clauses are those in effect through Federal Acquisition Circular (FAC) 2022-07, effective 08/10/2022. The associated North American Industrial Classification System (NAICS) code for this procurement is 334111 – Electronic Computer Manufacturing with a small business size standard of 1,250 employees. This acquisition will be competed as a Total Small Business Set-Aside. The Materials Science and Engineering Division’s Center for Theoretical and Computational Materials Science (CTCMS) operates a high-performance computing cluster in support of computational materials research. This cluster consists of several parallel computer systems, general-purpose graphical processing unit (GPU) computer systems, and associated support equipment, including data storage systems, equipment racks, switches, and cabling. To continue its mission, CTCMS is refreshing a portion of this cluster consisting of a high-performance general-purpose GPU computer system, and highly-parallel high-performance computer systems, suitable for integration into an existing cluster.