What the FY2027 request buys
Verbatim from the R-2A exhibit for project EN3 of PE 0603384BP. This is the budget justification's own description of work that has not happened yet — the one thing no other level of the budget carries.
- Significantly scale the on premise and cloud compute capacity across different classification levels. - Work across interagency to create unified, AI-ready, and scalable data architecture and ecosystem. Ingest government, public, and private datasets into an High Performance Computing (HPC) environment. - Develop advanced AI tools and agents to accelerate innovative CBRND capabilities.
FY 2027 increased resources design and build out of computing resources for CBRND Biosurveillance and Deterrence missions, implementation of architecture and integration of relevant interagency data, and multiple experimentation and prototyping activities, utilizing industry and CBDP Science & Technology developed AI and Machine Learning (ML) capabilities.
Three years, and no five-year plan
An R-2A activity publishes the prior year, the current year and the budget year. The FYDP outyears exist at project and program-element level and are deliberately absent here rather than inferred. Estimate types are colored and never summed into one figure.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2027 | Request | 60.0 |
This activity is 67% of project EN3's FY2027 request and 19% of PE 0603384BP's. In the request year the activities under a project sum to it exactly; in the current year they under-cover it in about 9% of cases, so an activity's delta can legitimately exceed its parent's and the two must not be compared row to row.
6 activities in project EN3
Every R-2A line of this project, largest FY2027 request first. Linked where the activity has enough of its own narrative to carry a page; the rest are shown in full on the project page.