EXTREME COMPUTING
ID: FA875023S7004Type: Presolicitation
Overview

Buyer

DEPT OF DEFENSEDEPT OF THE AIR FORCEFA8750 AFRL RIKROME, NY, 13441-4514, USA

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

PSC

NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; APPLIED RESEARCH (AC12)
Timeline
    Description

    The Department of Defense, through the Air Force Research Laboratory (AFRL), is soliciting white papers under Broad Agency Announcement (BAA) FA8750-23-S-7004 for research and development in the field of "Extreme Computing." The initiative aims to advance technologies in computational diversity, machine learning, artificial intelligence, nanocomputing, and robust computing architectures, with a focus on enhancing the capabilities of Air Force platforms. This BAA has an estimated total funding of approximately $497.9 million, with individual awards typically ranging from $1 million to $3 million for projects lasting up to 36 months. Interested parties are encouraged to submit white papers by September 20, 2028, with recommended submission dates aligned with fiscal year funding timelines, and can direct inquiries to Dr. Nathan Inkawhich at nathan.inkawhich@us.af.mil or Amber Buckley at amber.buckley@us.af.mil for further information.

    Point(s) of Contact
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    Title
    Posted
    Amendment No. 4 to BAA FA8750-23-S-7004 outlines updates to the proposal requirements and security measures for applicants seeking funding from the Air Force Research Laboratory (AFRL). Key changes include the introduction of a Security Risk Review that will assess potential foreign influence on federally funded research. All proposals must include a Security Program Questionnaire and a "Privacy Act Statement" for covered individuals. The proposal submission process requires specific forms, and non-compliance or failure to disclose relevant information may lead to disqualification or funding retraction. The selection process for proposals is structured in two phases: initial white paper reviews and subsequent formal proposal evaluations based on both technical merit and funding availability. The Government retains discretion in awarding contracts, with the possibility of partial funding. The document emphasizes the importance of thorough documentation and compliance with applicable security protocols to safeguard U.S. technology and research integrity throughout the proposal lifecycle.
    The Air Force Research Laboratory (AFRL) has issued Amendment No. 1 to Broad Agency Announcement (BAA) FA8750-23-S-7004, modifying the Technical Point of Contact for Technical Area 1. The BAA, titled "Extreme Computing," invites white papers for research and development focused on advanced computing technologies, specified across four technical areas: 1) Advancing Computing Technology and Applications, 2) Nano-Computing, 3) Neuromorphic Computing and Machine Learning, and 4) Robust and Efficient Computing Architectures for Embedded Deep Learning. A total funding of approximately $497.9 million is allocated for awards typically ranging from $1 to $3 million for performance periods not exceeding 36 months. The submission process involves two steps, beginning with white papers due by specified fiscal year deadlines up until September 20, 2028, with selected proposals invited to submit full technical and cost proposals. The BAA stipulates eligibility requirements, including restrictions on foreign participation, and emphasizes the importance of fundamental research. Contact information for relevant Technical Points of Contact and the Program Manager is provided, facilitating communication for potential offerors.
    Amendment No. 3 to Broad Agency Announcement (BAA) FA8750-23-S-7004 aims to enhance the Air Force Research Laboratory's solicitation for extreme computing technologies. The modification includes updates to proposal formatting, technical requirements, contact information, and funding projections, with approximately $497.9 million allocated over five fiscal years (FY24-28). The announcement invites white paper submissions related to four specific technical areas: advancing computing technology, nano-computing, neuromorphic computing, and embedded deep learning efficiencies. The BAA is open until September 20, 2028, with white papers due by established deadlines, primarily by fiscal years, with later submissions accepted but less likely to be funded. Eligible offerors must comply with guidelines prohibiting foreign participation, unless specific exceptions apply to fundamental research. The BAA encourages engagement from various sectors, including small businesses and academia. Proposals will undergo multi-step evaluations focusing on scientific merits, relevant experience, and cost realism, with decisions influenced by the availability of funds. The document outlines eligibility, submission guidelines, and expectations for potential awards, which may take the form of contracts, grants, or cooperative agreements, to cultivate innovative solutions for complex military computing challenges.
    The amendment to Broad Agency Announcement (BAA) FA8750-23-S-7004 from the Department of the Air Force seeks white papers for innovative technologies in extreme computing across various technical areas, including nanocomputing and machine learning. The total funding available is approximately $497.9 million, with awards typically ranging from $1 million to $3 million for efforts not exceeding 36 months. This announcement will be open until September 20, 2028, encouraging submissions aligned with fiscal year funding timelines. Researchers are invited to contribute to fields such as advanced computing, neuromorphic applications, and robust algorithms. Key submission requirements include adherence to governance on fundamental research, eligibility restrictions regarding foreign participation, and compliance with security regulations. Potential offerors must follow explicit submission guidelines outlined in the document, including format and content specifics. The goals are to enhance Air Force capabilities through innovative computing solutions, leveraging emerging technologies for improved performance across various operational domains while also aligning with national security considerations.
    The document outlines the Broad Agency Announcement (BAA) FA8750-23-S-7004 from the Department of the Air Force, focusing on "Extreme Computing." This open, two-step BAA invites white paper submissions for research and development in computational diversity, machine learning, artificial intelligence, and nanocomputing, among other areas, with a total funding estimate of approximately $497.9 million over several fiscal years. Each proposal typically ranges from $1 million to $3 million, and awards can last up to 36 months. The BAA specifies four technical areas: advancing computing technology, nanocomputing, neuromorphic computing, and robust and efficient computing architectures. It emphasizes the need for energy-efficient, agile systems to enhance the capabilities of Air Force platforms while adhering to strict eligibility criteria, including limitations on foreign participation. White papers are due by September 20, 2028, with recommended submission dates throughout the fiscal years to maximize funding opportunities. The announcement is structured to engage industry participation while detailing submission guidelines, evaluation criteria, and eligibility requirements, ensuring transparency and clarity in government contracting processes.
    The Department of the Air Force, Air Force Materiel Command, and AFRL - Rome Research Site have announced a Broad Agency Announcement (BAA) titled "Extreme Computing." The BAA is seeking white papers for research, development, integration, test and evaluation of technologies/techniques in areas such as computational diversity, efficient computing architectures, machine learning, artificial intelligence, nanocomputing, space computing, and robust algorithms and applications. The total funding for this BAA is approximately $497.9 million.
    Lifecycle
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    EXTREME COMPUTING
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