PuK Gaming’s New Patents Work Together to Save Energy
In this article, you’ll discover:
- How a gaming phone problem led to a major breakthrough in computing.
- Why Simon Burgess’s unique background in fields like hydroponics and aerodynamics was the key.
- How five new patents work together as a “stack” to multiply energy savings.
- The massive real-world impact on AI accessibility and data center energy use.
When you think of a huge tech breakthrough, you probably picture a massive, billion-dollar lab. But for serial inventor Simon Burgess, it all started with a problem many of us know well: a gaming phone.
Simon and his team at PuK Gaming were trying to conceptualize their own gaming phone. They wanted to create the best experience possible, but they kept hitting the same physical wall. It’s the classic physics triangle: you want more computational power, but that creates more heat and absolutely kills your battery life. You can’t seem to win.
While most people would just try to add a bigger battery or a clunky fan, this problem sent Simon down a different, much deeper path. It led him to question the very math that all modern computing is built on. The result was five new patents. And these patents don’t just solve a phone problem, they could help solve one of the biggest problems in all of technology.
An Inventor Who Sees Things Differently
To understand how he got there, you have to know a little about Simon Burgess. He isn’t just a tech guy. He’s an inventor who has spent 15 years working across completely different fields.
He holds 13 patents from his time at SCUF Gaming, creating the high-performance controllers that esports pros rely on. But he has also engineered solutions in aerodynamics, audio, and even hydroponics. He’s worked with fundamentally different mechanical principles: levers, magnets, pulleys, pneumatics, and hydraulics.
This unique background is his superpower. While researching the physics of efficiency, Simon started to see a pattern. He realized that the math used to solve a problem with water flow in hydroponics was surprisingly similar to the math behind airflow or even data processing. He saw the same relationships everywhere.
He found a set of universal rules for how systems, whether they are mechanical or computational, can maintain maximum useful work while avoiding collapse. He found a new mathematical framework for efficiency that a specialist in a single field might have missed.
It’s Not One Fix, It’s a Stack
This is where it gets really cool. Simon didn’t just create one patent, he created five. And the most important part is that they are designed to work together as an integrated stack.
Think of it like making a car more efficient. You could just improve the tires for 5% better mileage. But Simon decided to redesign the engine, the transmission, the car’s aerodynamics, and the tires all at the same time.
When the savings from each part combine, the results aren’t just added, they are multiplied. That’s exactly what these patents do for computers, from the silicon chip all the way up to the apps you use.
Here’s a simple breakdown of the full stack and the real-world results:
- The Hardware (Processor): A new processor architecture with specialized circuits for real-time optimization. This cuts energy use by 20-35% and thermal output (heat) by 18-28%.
- The Operating System (Resource Management): This patent provides OS-level control to detect redundancy. The result? 20-40% less RAM usage and 15-35% lower CPU power draw.
- The Data Storage: A system that uses a clever method (locality-sensitive hashing) to eliminate redundant data. This means computers need 30-50% less physical storage and get 25-40% higher cache hit rates.
- The AI Training (Framework): A method that monitors and optimizes machine learning in real-time. This makes AI training 20-30% faster while using 25-40% less GPU energy.
- The AI Application (Text Generation): This patent addresses inefficiencies in LLMs by preventing redundant token patterns. It leads to a 40-50% reduction in output redundancy and 25-35% fewer GPU/CPU cycles per useful token.
A 20% saving at the processor level multiplies with a 30% saving in storage and a 25% saving in AI training. It all adds up to a massive boost in performance and a huge drop in energy use.
Why This Matters More Than Just Gaming
This breakthrough started with a gaming phone, but it could have a massive real-world impact.
First, the environment. Data centers currently use 1-2% of all global electricity, a number that is growing fast with the rise of AI. A 20-40% efficiency gain isn’t just a small fix, it’s a transformational step toward sustainable computing. It means we can have all the benefits of AI without the runaway energy costs.
Second, the economy. For businesses running massive AI workloads, cutting GPU energy use and storage costs by this much isn’t a small line item. At scale, it could mean saving hundreds of millions of dollars.
Finally, it makes tech more accessible. This might be the most important part. When you need 40% less hardware and energy to get the same results, it lowers the barrier to entry. Suddenly, advanced AI becomes affordable for smaller companies, researchers, and developers who were previously priced out. It democratizes technology.
A Mission for the Future
For Simon Burgess, this isn’t just about making faster machines. It’s about building a smarter, cleaner, and more responsible future. In fact, each patent includes a special stipulation that reflects this vision:
“The inventor stipulates the IP contained within this submission is for the liberty of mankind, not its control.”
This portfolio shows a clear mission. It’s not about choosing between performance and sustainability, it’s about delivering both at the same time. As Simon himself said:
“Our goal isn’t just faster machines—it’s smarter, cleaner, and more accessible computation for everyone. By addressing efficiency at every layer of the stack, we’re redefining what’s possible for sustainable performance.”
While PuK Gaming continues to innovate in the mobile space (like with the world’s first magnetic thumbstick for phones), they are also tackling some of the biggest challenges in computing. What started with a gaming phone has become a universal solution.
