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University of Minnesota·Minnesota

PGC-Object Storage Solution

Closes 10/2/2026$5M – $15MRequest for Proposal
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Description

The Polar Geospatial Center (PGC) at the University of Minnesota seeks a vendor to design, deliver, and implement an object‑based storage solution capable of at least 40 PiB of usable capacity initially, with scalable growth. The solution will store remote‑sensing imagery and digital elevation products that are accessed frequently, requiring near‑line performance rather than deep‑archive latency. Two architectural paths are acceptable: a cloud‑based (with optional on‑premise hybrid) solution or an entirely on‑premise solution. The contract will cover hardware/software procurement, system integration, migration of existing datasets, performance tuning, and ongoing support. Vendors must respond through the university’s MBID e‑procurement system, adhere to strict submission deadlines, and may be required to present oral demos or site visits. • Minimum 40 PiB initial usable storage, scalable with funding • Near‑line performance for high‑frequency remote‑sensing data access • Cloud‑only or cloud‑plus‑on‑premise hybrid, or fully on‑premise design • Full lifecycle services: design, implementation, migration, support • Submission via MBID system; hard close on 2 Oct 2026; questions due 8 Sep 2026

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Brendan Wintroath

[email protected]

Key dates

Opened
8/24/2026
Questions due
9/8/2026
Closes
10/2/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
518210
Solicitation №
11130.2485742.BW Addendum 3

Budget estimate

$5,000,000 – $15,000,000

No contract value is disclosed. A 40 PiB enterprise‑grade storage platform (hardware, software licenses, integration, migration, and multi‑year support) typically runs between $5 million and $15 million depending on architecture (cloud services vs. on‑prem hardware), performance tier, and support terms. The lower end assumes a hybrid cloud with modest on‑prem components; the higher end assumes a fully on‑prem, high‑performance solution with extensive professional services.

AI estimate from the solicitation

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