Cheyenne to Host Massive AI Data Center Using More Electricity than All Wyoming Homes Combined
ALABAMA, JUL 28 – Digi Power X aims to rapidly deploy its Tier 3-certified ARMS 200 platform with up to 40 MW power capacity supporting over 10,000 NVIDIA GPUs for scalable AI workloads.
- On July 28, 2025, US Data Centers, Inc. filed a provisional patent for the ARMS 200 platform, according to CEO Michel Amar.
- As a Tier 3-certified AI-Ready Modular Solution platform, ARMS 200 pods deliver 1 MW and support up to 256 NVIDIA B200/B300 GPUs.
- Digi Power X plans to scale ARMS 200 to 40 MW of critical power, with initial deployment scheduled for Q4 2025 at its Alabama site.
- With a strong balance sheet, Digi Power X leverages its Supermicro partnership and Tier 3 design to scale ARMS 200 later this year.
- Following failed talks, Mayor Matt Zacher said the Wisconsin Rapids project will not proceed, and the land is available for other development opportunities.
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One City's Huge New AI Data Center Will Be a 'Game Changer'
An artificial intelligence data center that would use more electricity than every home in Wyoming combined, before expanding to as much as five times that size, will be built soon near Cheyenne, according to the city's mayor. "It's a game changer. It's huge," Mayor Patrick Collins said Monday. With cool...
·Miami, United States
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Cheyenne to host massive AI data center using more electricity than all Wyoming homes combined
A massive AI data center proposed near Cheyenne, Wyoming, would use more electricity than all homes in the state combined.
·United States
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Digi Power X Subsidiary, US Data Centers Inc., Files Provisional Patent for ARMS 200 Modular AI Data Center Platform
This news release constitutes a “designated news release” for the purposes of the Company’s prospectus supplement dated May 30, 2025 to its short form base shelf prospectus dated May 15, 2025.
·Muskoka Lakes, Canada
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Total News Sources32
Leaning Left11Leaning Right2Center10Last UpdatedBias Distribution48% Left
Bias Distribution
- 48% of the sources lean Left
48% Left
L 48%
C 43%
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