Vision & growth strategy: building the AI utility.

Amazing thing about this number is that we didn't know what iPhones are going to do to the internet age, we have no idea what Ai applications are going to do this Ai revolution. We are at the infancy of Ai, it's a concept stage. We are still unlocking the thought of the potential that Ai must change our lives. Remember when I mentioned Moore's law? We must come up with a new law that makes sense of how the Ai age follows before Nevens law takes over (oh yes, like it or not Quantum is around the corner).

While the large models continue to refine, there is an influx of organizations that have sprung up in the 'agents' space. Ai agents play pivotal role in achieving AGI. If LLMs are the brain, agents are the arms and the legs. Currently, the right arm doesn't know what the left is doing but soon the nervous system will complete, and messages will be coordinated and deliberate and will be able to send the right signals to the agents. And the agents will work in cohort to allow LLMs to interact in the digital world and above all interact with each other. MOEs are great for the replacement of what we currently use google search for, however when you start focusing on solving the real-world problems and use cases like lifesaving drugs development, food supply shortages, reversing climate change, energy shortage, you need more focused LLMs. Above all you need those LLMs to be able to communicate with each other and be able to interact with the dataset that they are training upon.

That's where I believe agents will play a pivotal role, we as humans are creating data at an immense pace and for any LLM to train properly, the first step is to feed it tagged data. That's why you saw Zuch buy up a 49% stake in Scale Ai for 14 billion dollars and made Alex Wang the head of their Ai Lab. Like your kid, your LLM is only as good as how good their education system is and with any luck, they will grow up to solve world hunger or stab you. Getting back to the point, agents will continue to get better in the digital space, and they will interact and reason and solve operational issues to streamline development of different work products and they all require.....you guessed it, GPUs.

If you are still with me, let me tie it all together. They're our 3 major parallel efforts occurring right now; Ai tooling that is creating a new generation of engineering and accelerating R&D, time to market in every technology vertical, Ai agents (compounded with the Ai tooling) that can automate every workflow imaginable and last but the most important is Physical Ai. Within the next 5 to 10 years, we project all 3 verticals converging into a singularity – Superintelligence transcending from digital world to our 3D world.

Everything that I have laid out so far requires computational power unlike what we have ever seen. Best way to explain it is the cost of the power grid at the turn of the last century. We don't have a good idea of what it costs to build our power grid, but we do have an idea to re-haul and modernize our power grid (US only) will range anywhere from $2 Trillion to $5 Trillion. So, when you look at the spend that the market is up in arms regarding Open Ai's $1.5 Trillion spend commit, it's a drop in the bucket. We are just at the point of building the first few power plants and the fight to figure out if Edison's DC current should be the standard or Tesla's AC let alone every invention that uses electricity hasn't even been thought off.

STN is uniquely positioned at this juncture as one of the first utility companies. Our goal is to own and deliver distributed computational power to Ai labs and in parallel build an extensive network across the world to deliver superintelligence and robotics Ai cloud. In conjunction we want to create autonomous data centers including robotics manufacturing. Everything that I talk about above requires GPUs and a comprehensive network to operate it across the world, as a NVIDIA NCP preferred partner and our partnership with Skild Ai gives us a leg up to achieve our goals.

Here are the verticals STN currently operates in, and we are looking for growth capital to grow the business rapidly:

STN is focused on GPU-as-a-service, distributed data centers (expanding from 4 sites), autonomous data centers, and US-based robotics manufacturing. We are leveraging NVIDIA's Cloud Partner (NCP) program – where preferred partners like STN get priority access to AI infrastructure blueprints for scalable GPU clouds. Partnering with Skild AI gives us an edge in physical Ai. Our key differentiator from any of the hyperscalers like AWS or Microsoft is the enablement of up-and-coming Ai labs where AWS is focused on their other business units like Amazon. STN anticipates rapid revenue growth by 2030, delivering strong ROI for investors committed to this transformative sector. We are bullish on our strategy to slingshot STN from a regional NVIDIA NCP to a global power house delivering Ai utility to all corners of the universe (sneak peek to 2030's plan ☺).