A scalable platform for semiconductor optimization
AI, gaming, and crypto all ride on the same thing: racks of chips pushed to their thermal limits.
We are spending more and more money fighting heat instead of generating useful compute.
The way we are scaling compute today is simple: more buildings, more power, more cooling. That path hits hard limits.
If we only scale by pouring more concrete and building more power plants, we run into physical, economic, and political walls.
Everyone is looking for ways to get more compute from the hardware they already have. NoPoint is built for that.
Semiconductors are usually treated as fixed once they come off the line. But they are not.
Our discovery: exposing chips to a specifically tuned electromagnetic field while unpowered can subtly reorganize their internal behavior. Defect states, charge pathways, and micro-scale interactions shift into a more efficient configuration. The result is a lasting change in how heat and current flow, even after the field is gone.
We are not altering the design. We are unlocking better behavior from what is already there.
NoPoint is a proprietary tuned electromagnetic field treatment method:
We tested NoPoint across three tiers of hardware, from individual transistors to modern GPUs. In every case, treated devices ran cooler and more efficiently than controls.
Even small gains in temperature and efficiency unlock large benefits at scale.
At rack and cluster level, NoPoint turns per-device improvements into substantial fleet-level gains, without adding a single new GPU.
At a 10,000-GPU scale, a 10% throughput gain from reduced throttling is equivalent to adding the usable output of 1,000 additional GPUs, without buying them.
Today the main levers are:
They matter, but they are slow, expensive, or limited in scope.
We are not replacing better cooling or smarter software. We make both more effective.
NoPoint is delivered as a repeatable treatment protocol plus enabling hardware. It can be deployed at multiple points in the supply chain:
The underlying method is the same. Equipment is modest relative to the cost of the hardware it upgrades, and throughput can be scaled with demand. NoPoint goes wherever silicon lives.
Service deployments generate revenue now. Enterprise and licensing turn NoPoint into an efficiency layer across the stack.
The world is trying to solve a compute problem with concrete, cooling, and capital. NoPoint adds another lever: it changes how the silicon itself handles heat and energy.
By reorganizing how existing chips behave under load, we increase usable performance without redesigns, new fabs, or new materials. The same hardware does more useful work.
More compute. Less waste. Using the silicon the world has already built.
Terms available upon request. Contact info@nopoint.tech.
NoPoint Technology is patent pending. Technical documents, detailed validation data, and methodology are available upon request under NDA.