- BluSky AI is developing scalable, modular data centers purpose-built to support the explosive growth in AI and ML workloads
- Its “SkyMod” AI Factories use NVIDIA GPUs and attempt to use existing energy sources to deliver compute power where and when it’s needed
- With 90% of enterprises investing in AI but data center bottlenecks looming, BluSky AI provides the essential infrastructure to fuel the revolution
As generative AI sweeps across industries, from healthcare to marketing to national defense, one major problem threatens to stall progress: infrastructure. The computer power required to support artificial intelligence is exponentially higher than traditional internet or cloud operations, and legacy data centers simply can’t keep up. According to Goldman Sachs, the U.S. will need to substantially upgrade their current number of data centers just to support known AI use cases.
At the same time, building new hyperscale facilities can take 3–5 years, cost billions, and further stress an already overburdened energy grid. It’s a massive disconnect in a market that doesn’t have time to wait.
That’s where BluSky AI (OTC: BSAI) enters the equation with a nimble, modular solution designed to meet the AI industry’s surging needs right now.
The AI Boom’s Hidden Bottleneck: Infrastructure
Artificial intelligence might be the most transformative force of the century, but it runs on hardware, and that hardware is hitting limits. Each query to a model like ChatGPT consumes roughly 10x the compute power of a Google search. That adds up to more than 600 MWh per day, enough to overwhelm existing data center capacity. Nvidia’s CEO Jensen Huang stated in an CNBC interview that next-generation AI reasoning models will require 100 times more compute than older models. Once again, our current infrastructure isn’t built for today or the future.
BluSky AI is tackling this problem head-on. Instead of building monolithic facilities that are slow and expensive to deploy, the company offers a line of scalable, modular AI “factories” known as SkyMods. These pre-configured, GPU-powered units are delivered fully assembled and ready for plug-and-play operations on BluSky AI’s expanding site locations or on sites at universities, or enterprise locations that already have sufficient energy infrastructure.
SkyMod Units Deliver Speed, Scalability, and Sustainability
BluSky’s SkyMod units come in two sizes – SkyMod One and SkyMod XL – offering 1 MW and 1.7 MW of power capacity respectively. Each module is built using cutting-edge NVIDIA reverse-engineered DGX SuperPOD(TM) and GH200 GPUs and supports rapid deployment in 12 – 18 months.
These SkyMods can be networked together using the company’s SkyFrame(R) backbone, allowing for growth on demand. The modular design is a game-changer: rather than waiting years for a hyperscale center to come online, enterprises can scale compute power incrementally based on need. With their first location initially announced, and numerous locations under LOI, they expect their networked SkyMod solutions to scale to meet the growing needs of AI.
Equally important is BluSky’s energy-first approach. The company targets SkyMod placement on “powered land,” locations that already have access to energy sources. This reduces environmental impact while ensuring reliable uptime and power availability.
Addressing the AI Compute Crisis Before It Hits
Industry research supports BluSky AI’s proactive stance. According to McKinsey, data centers are expected to consume over 4% of global electricity by 2030, up from 1.5% today. Meanwhile, CBRE’s 2024 Global Data Center Trends report shows that vacancy rates are falling, power sourcing is a growing issue, and hyperscale operators are struggling to meet demand.
BluSky’s business model anticipates this crunch. By providing immediate access to AI-ready computer infrastructure providing a GPU-as-a-Service and other plans, the company helps businesses, developers, and AI teams avoid the coming delays and pricing volatility.
The ability to lock in computing power now, at a predictable cost, could be a competitive advantage as GPU availability tightens and more organizations race to scale their AI operations.
Big Opportunity
Though hyperscale providers get the headlines, BluSky is also focused on enabling small and mid-sized businesses to join the AI revolution. According to Forbes, three out of five SMBs plan to deploy AI within two years, but many lack access to the infrastructure required to do so.
BluSky’s modular approach helps solve that. Whether it’s a startup training for its first large model or a university researching new applications, SkyMod units offer right-sized solutions that can grow with demand, and without the overhead of building and managing a traditional data center.
A New Frontier in AI Compute
BluSky AI’s modular data centers offer more than convenience. They represent a fundamental shift in how computing infrastructure is deployed, managed, and scaled; and they may be one of the most important building blocks in the entire AI value chain. As more AI use cases enter the mainstream, and as energy constraints continue to mount, BluSky’s forward-thinking approach is timely and vital.
The AI boom has begun. But behind the scenes, it’s infrastructure like BluSky’s that will determine just how far and how fast this revolution goes.
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
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