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BOSC BOSC Lima Ottawa River · Lima, OH Draft Under construction #1261 URB Urbana Mad River · Great Miami Open Investigating #1263 DEF Defiance Maumee mainstem Queued Investigating #1264 FIN Findlay Blanchard River Queued Investigating #1265 TOL Toledo Lucas Co WRRF Queued Investigating #1266 VWT Van Wert Town Creek · Little Auglaize Queued Investigating #1267 BRY Bryan Prairie Creek · Tiffin River Queued Investigating #1268 OTW Ottawa Blanchard River (lower) Queued Investigating #1269 SPR Springfield Mad River · Great Miami Queued Investigating #1270 XEN Xenia Little Miami Queued Investigating #1271 WPA Dayton · WPAFB Mad River · Great Miami Queued Investigating #1272 HAM Hamilton · Middletown Great Miami (lower) Queued Investigating #1273 TRP Troy · Piqua Great Miami (upper) Queued Investigating #1274 SID Sidney Great Miami · headwaters Queued Investigating #1275 GRV Greenville · Darke Co Stillwater · basin divide Queued Investigating #1276 WIL Wilmington Todd Fork · Little Miami Queued Investigating #1277 WUN West Union · Adams Co Ohio Brush Creek · Ohio River Queued Investigating #1278 NAL New Albany · Licking Scioto ↔ Muskingum divide Watching Investigating #1279 COL Columbus Scioto · Olentangy Watching Investigating #1280 CSH Coshocton Tuscarawas + Walhonding Watching Investigating #1281 PIK Piketon Scioto River · PORTS Watching Investigating #1282 SAN Sandusky · Perkins Twp Sandusky Bay · Lake Erie Watching Investigating #1283 NWK Newark Licking River Watching Investigating #1284 ZAN Zanesville Muskingum mainstem Watching Investigating #1285 FRE Fremont · Clyde Lower Sandusky Watching Investigating #1286 TIF Tiffin Sandusky (mid) Watching Investigating #1287 BUC Bucyrus Sandusky headwaters Watching Investigating #1288 CLE Cleveland Lower Cuyahoga Watching Investigating #1289 AKR Akron Upper Cuyahoga · CVNP Watching Investigating #1290 LRD Lordstown · Warren Upper Mahoning Watching Investigating #1291 YNG Youngstown Mahoning mainstem Watching Investigating #1292 LAN Lancaster Upper Hocking Watching Investigating #1293 ATH Athens Lower Hocking Watching Investigating #1294 LOG Logan Hocking Hills Watching Investigating #1295
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End use & workloads — what the facility is for

A #233 extension narrative. Like HYDROLOGY.md and ECONOMICS.md this is hand-assembled analysis over cited records, and like the guided walk it ends at the open question rather than closing it. Every statement carries its register: [verified] (read from a cited record), [inference] (a labeled reading of it), [open] (a question the record does not answer), [reference] (an outside-published spec). The customer question is settled — the developer is Google (DOSSIER.md §1; corrected to [verified] in the walk). This is the question one layer downstream: not who builds it, but what it is for, and who can use it.

A data center is real infrastructure, and the people building one are entitled to the presumption that they are doing ordinary economic-development work on the information they have. The campus on Cole Street will be a genuine facility doing genuine computing. The question this report asks is narrow and fair: the public is being asked to abate a building and route public roadwork to it, and the size of that public benefit turns on what kind of data center it is — a thing the record, so far, does not say.

The Ohio Select Committee on Data Centers spent late May and early June of 2026 taking testimony from the industry itself. That record is the gift here: it draws the distinctions cleanly, in the operators’ own words, so we don’t have to.

———

“data center” names three different things

Across the 2026-06-04 hearings the witnesses span three businesses that share a name and almost nothing else [verified: data/extracted/legal/select-committee-2026/select-committee-2026.hearing-index.yaml]:

  • Bitcoin mining. MARA Holdings — $397M in Ohio, behind-the-meter, curtailed 770+ MW in the January storm — volunteered the distinction itself: “we don’t have customers in Bitcoin.” A mine is its own customer.
  • Hyperscale. Google, Meta, AWS, Microsoft — the owner runs the compute on its own account. The company you can name is the company using the machines.
  • Colocation. QTS, Vantage — a landlord. The operator builds and powers the hall; its tenants own the compute and decide what runs.

The three answer the public’s two plain questions — who benefits and who can use it — in completely different ways. The abatement math, the job math, and the national-security question all change depending on which one a given campus is. So the category is not a technicality; it is the first fact you need, and it is the fact the Lima record withholds.

———

who owns the compute — the opacity, on the record

In colocation the beneficial-ownership question the walk’s “Who is actually building this?” chapter keeps open about the shells reappears as an operating fact. Asked who ultimately captures the sales-and-use abatement on its campus, Vantage could not say [verified: hearing-index.yaml, closing session 2026-06-04-pm2]:

“I do not know … passed through … or taken advantage by the tenants themselves.”

That is not evasiveness; it is the structure. A colocation landlord genuinely may not know which of its hyperscale tenants books the benefit. The opacity is built in — and it means that confirming Google as the developer of a campus does not, by itself, tell you that Google is the entity running, benefiting from, or even present in the halls once they are built. Hyperscale developers do sometimes lease capacity to others; the deed and the development agreement fix the builder, not the tenant list.

For Lima this stays [open]: the record names the developer, not the occupant.

———

federal operations is a named customer segment

The committee record establishes something the general reader may not assume — that hosting the federal government is not a fringe use but a named, marketed segment of the data-center industry [verified]:

  • QTS lists “federal customers, where we operate secure, compliant facilities that support national security” as one of its core segments, alongside hyperscale and colocation [verified: data/extracted/legal/select-committee-2026/witness-submissions.digest.yaml; docs/legal/proponent-analysis.md].
  • AWS, before the same committee, named the Department of War and the CIA among 11,000 government customers and described the “shared responsibility model” — the customer controls its own region and access [verified: hearing-index.yaml, morning panel 2026-06-04-am].

This is the structure the relator (Cory Parent, a cloud engineer for regulated industries) put to the committee as the dimension no other witness raised: not how much power or water, but who can even use the facility [verified: relator-testimony/bosc-written-testimony-2026-06-01.md].

———

the enclave — why “who can use it” is a real question

Government cloud is not just commercial cloud with a flag on it. The federal authorization ladder is a published spec [reference]:

  • FedRAMP governs federal civilian cloud work.
  • The DoD impact levels sit above it: IL4/IL5 for sensitive and national-security data, IL6 for classified up to SECRET [reference: DoD Cloud Computing SRG].

At the higher rungs the capacity is, by regulation, not the flexible shared pool a commercial abatement forecast assumes: an IL5/IL6 environment is wholly dedicated, U.S.-citizen-staffed, and physically and logically isolated [reference; relator-testimony §]. Google’s own Distributed Cloud air-gapped appliance holds DoD IL5 and was demonstrated with GDIT at Exercise Mobility Guardian 2025 [reference: Google Cloud blog; Breaking Defense; GDIT, 2024–25]. High-authorization hosting is a realistic end use for a hyperscaler, not a hypothetical.

The consequence is economic, and it is the reason this matters to the public ledger: a high-authorization enclave’s supply chain is federal and sealed. It does not sell spare capacity to the open market, and it does not seed the local technology cluster that an incentive is sold as buying. Whether the campus anchors a regional tech economy or remains a sealed island is the difference the workload class decides [inference: relator-testimony §; the spec is reference, the application to Lima is open].

———

what the record does not say

Set the confirmed facts side by side. The developer is Google [verified]. The campus is real and large [verified]. The industry’s own testimony establishes the taxonomy — Bitcoin, hyperscale, colocation — and a named federal segment with a dedicated-enclave structure above it [verified]/[reference]. Every one of those is register-one.

The question those facts cannot answer is the one the public benefit turns on: which is the Lima campus, and who can use it? Hyperscale running Google’s own workloads; a colocation hall whose tenants are unnamed; or a high-authorization GovCloud/DoD enclave whose capacity never touches the local economy at all. The record does not say, and two of its silences are pointed rather than neutral:

  • Google’s own legislative testimony omits Lima. Liz Schwab’s 2026-06-04 submission lists Google’s Ohio footprint as New Albany, Columbus, and Lancaster — a ”>$20 billion” total — and does not name Lima or Allen County, while testifying to this very committee about Ohio data centers [verified: the omission — witness-submissions.digest.yaml]. The omission is documented; what it means is [inference], not a finding.
  • The defense channel returned “no records.” The public-records request for County ⇄ DoD / General Dynamics Land Systems communications came back empty [verified: PRR item 2]. An absence is not evidence of a thing; it is the continued absence of an answer.

That is where this report stops. The defense nexus — GDLS runs the Joint Systems Manufacturing Center in the same corridor; Google holds DoD IL5; a Google witness answered the classification question only in indirect language and never named Lima — is the sharpest facet of the open question, and it is carried as exactly that: a corridor of [open] context, not a finding. Co-location, an indirect answer, and an absence are not, separately or together, proof of a use the record has not disclosed.

The honest end state is a question the confirmed facts cannot close, and a public decision being made without the one input that would size it. The abatement is being scored against a facility whose end use — and whose eligible users — the public is not permitted to see. The per-job abatement model already carries this as a modeling profile, not a claim: a GovCloud/defense-hardened build is one of the scenarios that moves the public cost per job (ECONOMICS.md; the Cost chapter’s abatement band). Which profile is real is [open] — and the mechanism that could close it is the records-disclosure fight, not this page.

———

sources

  • Ohio Select Committee on Data Centers, hearing index and cross-cutting read — data/extracted/legal/select-committee-2026/select-committee-2026.hearing-index.yaml
  • Witness written-submission digest (16 submissions) — data/extracted/legal/select-committee-2026/witness-submissions.digest.yaml
  • Relator written testimony, 2026-06-01 (the GovCloud / impact-level argument) — data/extracted/legal/select-committee-2026/relator-testimony/bosc-written-testimony-2026-06-01.md
  • Proponent analysis (QTS federal-segment candor) — legal/proponent-analysis.md
  • The developer-identity and public-benefit spine — DOSSIER.md, ECONOMICS.md