Microsoft Wisconsin AI Data Center Expansion
Sector: Water Supply and Storage • Location: Mount Pleasant, Wisconsin, United States
Source: Asharq Al-awsat - English
Microsoft plans to build a second massive artificial intelligence data center in Wisconsin, adding to an existing $3.3 billion data center in Mount Pleasant. The initial data center is on track to open next year and will employ about 500 people at its peak, expanding to about 800 once the second data center is complete. The site will house the world's most powerful AI supercomputer, utilizing hund
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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 | Microsoft plans to build a second massive artificial intelligence data center in Wisconsin, adding to an existing $3.3 billion data center in Mount Pleasant. The initial data center is on track to open next year and will employ about 500 people at its peak, expanding to about 800 once the second data center is complete. The site will house the world's most powerful AI supercomputer, utilizing hundreds of thousands of Nvidia chips, with advanced electrical infrastructure and cooling systems to optimize energy and water use. |
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 |