Nvidia and Other Investors Back Applied Digital With $160 Million in Funding. Read More >>
a view of a data center from the outside. there are two people standing, looking at building plans
a view of construction cranes building a data center
an aerial view of a data center
an interior view of a row of servers inside of a data center

Different by Design

Revolutionizing accelerated computing like never before.

Capacity is our best asset. Innovators trust Applied Digital’s next-gen infrastructure solutions for their enterprises because of the flexible, state-of-the-art design, reliability, and power. The AI revolution demands infrastructure that delivers optimized performance, scalability, and energy efficiency to drive innovation, competitiveness, and sustainable growth.

  1. Design Philosophy
  2. Cooling Technology
  3. Energy Source
  4. Scalability
  5. Space Utilization
  6. Power Efficiency
  7. Network Architecture
  8. Environmental Impact
  1. Purpose-built for AI and HPC workloads
  2. Advanced liquid cooling for superior efficiency and performance
  3. Strategically placed near renewable energy sources
  4. Highly scalable, designed to support significant growth
  5. Compact design with high power density
  6. Lower PUE, optimized for power and cooling efficiency
  7. Advanced networking (e.g., InfiniBand) tailored for AI/HPC
  8. Minimized carbon footprint through renewable energy use
  1. Design Philosophy
  2. Cooling Technology
  3. Energy Source
  4. Scalability
  5. Space Utilization
  6. Power Efficiency
  7. Network Architecture
  8. Environmental Impact
  1. General-purpose, often retrofit for new technologies
  2. Primarily air-cooled, less efficient for high-density setups
  3. Mixed, often reliant on non-renewable sources
  4. Limited by older infrastructure and design
  5. Larger physical footprint for similar power output
  6. Higher PUE, less efficient
  7. Standard networking solutions
  8. Higher carbon footprint

APLD Next-Gen Data Centers

Design Philosophy
Purpose-built for AI and HPC workloads
Cooling Technology
Advanced liquid cooling for superior efficiency and performance
Energy Source
Strategically placed near renewable energy sources
Scalability
Highly scalable, designed to support significant growth
Space Utilization
Compact design with high power density
Power Efficiency
Lower PUE, optimized for power and cooling efficiency
Network Architecture
Advanced networking (e.g., InfiniBand) tailored for AI/HPC
Environmental Impact
Minimized carbon footprint through renewable energy use

Traditional Data Centers

Design Philosophy
General-purpose, often retrofit for new technologies
Cooling Technology
Primarily air-cooled, less efficient for high-density setups
Energy Source
Mixed, often reliant on non-renewable sources
Scalability
Limited by older infrastructure and design
Space Utilization
Larger physical footprint for similar power output
Power Efficiency
Higher PUE, less efficient
Network Architecture
Standard networking solutions
Environmental Impact
Higher carbon footprint
an illustration showing a data center being powered by grid and wind

Engineered to bring workloads directly to the point of generation.

We strategically select sites to harness stranded renewable power, positioning our data centers close to energy sources to maximize efficiency and support sustainable operations.

480

+ MWs

Constructed in 18 months

400

MWs

In active Construction

2 GWs

Future Site Pipeline

Architects of Acceleration

Data Center Solutions

Applied Digital isn't just pushing boundaries; it's redefining how data centers are designed and delivered to support the robust requirements of next-generation AI Factories. Data centers are meticulously crafted from the ground up, engineered to meet the specifications of future accelerated compute roadmaps.

Forget retrofitting - everything is designed for accelerated computing, empowering you to unlock innovation like never before. Redundant systems, effortlessly scalable resources, and innovative cooling solutions ensure peak hardware efficiency and reliability. Strategically located for optimal energy cost-effectiveness, Applied Digital provides the foundation for groundbreaking work. Focus on the right infrastructure at the right speed to market  - that's the Applied Digital advantage.

Applied Digital Cloud

Applied Digital Cloud empowers businesses to unleash innovation with its turnkey GPU-as-a-Service solution. This secure, scalable, and managed service provides high-performance computing power for demanding workloads like AI, ML, and rendering, all at a cost-effective price.

Businesses can ditch the burden of in-house IT management and focus on core activities, thanks to Applied Digital's purpose-built, secure environment with enhanced security measures. This translates to robust, flexible compute resources without the operational headaches, allowing businesses to thrive in a high-performance, secure, and tailored computing landscape.

In the News

View all
Nvidia and Other Investors Back Applied Digital With $160 Million in Funding
September 12, 2024
Demand for Next-Generation AI Data Centers
June 17, 2024
Applied Digital CEO: Working on deal with a big AI customer
June 14, 2024

Testimonials

Noam Shazeer
CEO of Character.AI

The Applied Digital team has been exceptional to work with, and we’re looking forward to growing this partnership into the future.

Testimonials

Matt McGrigg
Director of global business development for CSP partners at NVIDIA

Businesses aiming for data center transformation need to harness accelerated computing for the efficient creation and deployment of AI-enabled applications. The combination of NVIDIA GPUs and networking with Applied Digital’s HPC applications will provide cutting-edge technologies and expertise to help customers increase speed and efficiency to accelerate innovation.

Noam Shazeer
CEO of Character.AI

The Applied Digital team has been exceptional to work with, and we’re looking forward to growing this partnership into the future.

Said Ouissal
Founder and CEO of Zededa

We’re excited to partner with Applied Digital. We believe the cloud computing paradigm should be extended everywhere, and we have already witnessed this at the far edge of the network. Generative AI is now demanding new learning and inference infrastructure requirements, specifically in power efficient environments, validating that edge computing is truly ubiquitous and transformative.

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