Appeal Digital Park Data Center and Regional Park
Sector: Data Center • Location: Prince Frederick, Maryland, United States
Source: The BayNet
Natelli Holdings proposes to purchase 133 acres of county-owned property in Calvert County, Maryland, to build a data center complex called Appeal Digital Park. The project includes several data center buildings and a $30 million investment in a regional park in District 1, with construction of the park to begin no later than 12 months after the property sale closes. The development and constructi
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Natelli Holdings proposes to purchase 133 acres of county-owned property in Calvert County, Maryland, to build a data center complex called Appeal Digital Park. The project includes several data center buildings and a $30 million investment in a regional park in District 1, with construction of the park to begin no later than 12 months after the property sale closes. The development and construction of the facility is estimated to exceed $3 billion, with an expected county tax revenue of $3 million per year during the first two years of construction. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
