Amazon Hyper-Scale Data Center Campuses in Pennsylvania
Sector: Natural Gas • Location: Pennsylvania, United States
Source: Times Leader
Amazon plans to invest $20 billion to establish multiple high-tech cloud computing and artificial intelligence innovation campuses across Pennsylvania, starting with Salem Township in Luzerne County and Falls Township in Bucks County. The investment will create at least 1,250 high-paying, high-tech jobs and is part of a broader development of hyper-scale data centers in the Northeastern Pennsylvan
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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 | Amazon plans to invest $20 billion to establish multiple high-tech cloud computing and artificial intelligence innovation campuses across Pennsylvania, starting with Salem Township in Luzerne County and Falls Township in Bucks County. The investment will create at least 1,250 high-paying, high-tech jobs and is part of a broader development of hyper-scale data centers in the Northeastern Pennsylvania (NEPA) region, which is becoming a target zone for data center development due to its natural gas resources and robust infrastructure. |
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 |
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