- Google’s substantial AI investment in innovation underscores the explosive demand for computing power across the industry
- Looking ahead, BluSky AI plans to help overcome infrastructure challenges through its innovative Neocloud platform, built on rapidly deployable SkyMod(TM) modular data centers
- The company announced the completion of its modular design earlier this year, introducing the SkyMod(TM) series designed for seamless outdoor and indoor deployment
As Google announces a massive 5 billion euro investment to expand its artificial intelligence (“AI”) infrastructure in Belgium (ibn.fm/g9GKV) and unveils new AI capabilities that allow computers to surf the web autonomously (ibn.fm/e8Vta), the AI industry faces unprecedented infrastructure challenges. Meanwhile, BluSky AI (OTC: BSAI) is uniquely positioned with its innovative Neocloud platform and modular SkyMod technology. As tech giants pour billions into traditional data center expansion, BluSky AI is focused to democratize access to enterprise-grade AI infrastructure through a fundamentally different approach, delivering compute power in months rather than years.
Google’s substantial commitment underscores the explosive demand for computing power across the industry. The investment will fund data center expansion in Belgium, bringing Google’s total investment in the country to more than 11 billion euros since 2007. According to market analysis, Google is planning a significant $75 billion investment in AI development for 2025 alone (ibn.fm/rFVfc). As an example of how rapidly AI capabilities are advancing, Google’s DeepMind lab recently unveiled Gemini 2.5 Pro Computer Use, an AI model that can autonomously surf the web, fill out forms and take actions from a single text prompt.
These developments highlight a critical industry challenge. As OpenAI’s CFO Sarah Friar stated, diversifying computing power to meet AI demand is the company’s biggest challenge (ibn.fm/83Ud9). Traditional data center development requires two to four years to construct and demands hundreds of millions of dollars in upfront investment, creating barriers for smaller organizations, academic institutions and startups seeking to participate in the AI revolution (ibn.fm/gdO2c).
BluSky AI’s trajectory starts with its revolutionary Neocloud platform, built for AI from the ground up. BluSky AI’s initial Neocloud will consist of 150 MW with 20 planned locations spread across the U.S. With locations from 9 MW to 50 MW located closer to businesses to facilitate low latency-millisecond inferencing.
The fabric supporting BluSky AI’s Neocloud will be the deployment of SkyMod modular data centers called “AI Factories.” Each SkyMod is a proprietary unit prebuilt and tested in a controlled environment before being shipped for plug and play installation. The SkyMod One AI Factory supports 1 MW of compute capacity. Multiple SkyMods can be networked on a single location to support up to 60 MW and will be interconnected throughout the future defined 20 locations in the Neocloud platform.
SkyMods will be capable of deploying in 12 to 18 months rather than the industry standard three to five years, representing a fundamental departure from traditional data center development (ibn.fm/u5KAa). These next generation modular systems are designed for artificial intelligence to deliver plug-and-play capabilities. This advantage stems from BluSky AI’s strategic partnerships, including an agreement with Data Specialties Inc. and a relationship with a key GPU chip company to reverse-engineer the company’s reference designs for the SkyMod AI factories. The company is also working with top chip manufacturers to support AI inference solutions.
The company announced the completion of its modular design earlier this year, introducing the SkyMod series designed for seamless outdoor and indoor deployment (ibn.fm/laJ0Y). The flagship SkyMod One is a one-megawatt modular unit occupying approximately 1,400 square feet, while the SkyMod XL boasts a 1.7-megawatt capacity covering 3,000 square feet. The preliminary designs mark a new milestone in high-performance AI infrastructure.
“The SkyMod platform represents BluSky AI’s commitment to agile infrastructure that evolves in real-time with AI innovation,” said Blue Sky CEO Trent D’Ambrosio. “With the design of our modular system now finalized, we’re equipped to deliver scalable, efficient and rapidly deployable compute to clients across the globe.”
Each SkyMod will be fully assembled in a facility using the latest AI technologies, tested for performance, shipped and delivered, then placed on a BluSky AI location or client facility, ready for a plug-and-play deployment. The modules can be positioned indoors or outdoors, utilizing existing facilities with available power or purpose-built sites.
BluSky AI’s Neocloud will encompass one or multiple SkyMods in a single location, networked to SkyMods across the United States (ibn.fm/yaIBQ). The company currently has six locations announced with additional locations in process, emphasizing green power sources including geothermal, solar, wind and other renewable resources. The infrastructure is optimized for intensive AI and machine learning workloads, with cost-efficient modular design allowing businesses to use only the AI resources they need.
BluSky AI is strategically positioning itself to address a market segment that traditional data providers often overlook. The company focuses on serving small, mid-sized enterprise and academic partners from startup to scale-up to enable these organizations to access infrastructure that fits their needs. As tech giants invest billions in traditional infrastructure, BluSky AI’s modular Neocloud platform and rapid-deployment SkyMod technology will soon offer an alternative path that democratizes access to enterprise-grade AI infrastructure, potentially accelerating innovation by removing deployment barriers.
For more information, visit the company’s website at BluSkyAIDataCenters.com.
NOTE TO INVESTORS: The latest news and updates relating to BSAI are available in the company’s newsroom at https://ibn.fm/BSAI
