NoPoint Technology

More compute. Less waste. Same chips.

A scalable platform for semiconductor optimization

The Problem

The world is running hot

AI, gaming, and crypto all ride on the same thing: racks of chips pushed to their thermal limits.

  • Data centers already draw city-scale amounts of power
  • A big share of that electricity cools hot chips instead of doing compute
  • Modern AI GPUs are 700 watt space heaters that throttle when they get too hot

We are spending more and more money fighting heat instead of generating useful compute.

700W
NVIDIA H100 TDP
1000W+
Next Gen Projected
40%
Cooling Costs
30-50%
Throttling Loss
The Constraint

The AI build curve cannot keep going like this

The way we are scaling compute today is simple: more buildings, more power, more cooling. That path hits hard limits.

  • AI demand is growing faster than grids and substations can be upgraded
  • New data center projects are getting delayed or blocked over power and cooling
  • Cooling is getting more complex and expensive, while the silicon still throws off the same heat

If we only scale by pouring more concrete and building more power plants, we run into physical, economic, and political walls.

Why Now

Four forces converging

  • Power squeeze – AI workloads are outpacing how fast we can add generation and transmission
  • Cooling squeeze – Even aggressive liquid and immersion cooling are struggling to keep GPUs in range
  • Node and fab ceiling – Process shrinks are slower, more expensive, and capacity limited; most chips for this decade are already designed
  • Trillion dollar capex – Trillions will be spent on AI infrastructure, so small gains in performance per watt and per chip turn into huge value

Everyone is looking for ways to get more compute from the hardware they already have. NoPoint is built for that.

The Discovery

Silicon is not static

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.

  • No new materials, masks, or firmware
  • Applied post fabrication to existing chips and systems
  • Works at the level of single devices or entire assemblies

We are not altering the design. We are unlocking better behavior from what is already there.

How It Works

Tuned fields, persistent effects

NoPoint is a proprietary tuned electromagnetic field treatment method:

  • Structured in frequency, amplitude, and timing
  • Applied while the device or system is fully unpowered
  • Induces a low-energy shift in material behavior and field alignment in and around the silicon and package
After treatment, under normal workloads:
  • Chips run cooler at the same power
  • Throttling events are reduced
  • Performance remains more stable over time
All without changing code, firmware, or physical design. From the outside, the hardware is the same. Under load, it behaves better.
Validation

Validated across hardware

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.

Phase 1
IRF540 MOSFET
Single discrete transistor at ~10,000 nm.
  • -62% voltage drop
  • -6°C operating temperature
Phase 2
Raspberry Pi 4B
28nm SoC ~150M MOSFET transistors.
  • +317% max clock time
  • +40.3% frequency
  • +30% thermal efficiency
  • +34.6% total throughput
Phase 3
AMD 6700XT GPU
7nm GPU ~17.2B FinFET transistors.
  • 7.82× memory efficiency
  • +35% VR current
  • -11°C VR temperature
  • -2.5°C GPU die temperature
Impact

What the results mean

Even small gains in temperature and efficiency unlock large benefits at scale.

  • Less throttling means more usable compute per chip
  • Cooler operation extends hardware lifespan
  • Stable temperatures allow denser racks with less overbuilt cooling

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.

Positioning

Where NoPoint fits in the stack

What the industry uses today

Today the main levers are:

  • Shrink nodes with new process generations
  • Add more advanced cooling and facility design
  • Optimize workloads and software

They matter, but they are slow, expensive, or limited in scope.

What NoPoint adds

  • Efficiency gains after fabrication
  • Performance improvements without hardware redesign or firmware changes
  • Compatibility with chips already deployed in the field

We are not replacing better cooling or smarter software. We make both more effective.

Deployment

Designed for real world deployment

NoPoint is delivered as a repeatable treatment protocol plus enabling hardware. It can be deployed at multiple points in the supply chain:

System integrators
  • Pre-ship value-add process for performance SKUs
  • Applies to high-performance desktops, workstations, and servers
  • Upgrades existing offerings without redesigning hardware
Data centers
  • Dedicated treatment bays for racks, trays, or modules
  • Fits into existing maintenance and refresh cycles
  • Scales with demand by adding more treatment capacity
Chip & module vendors
  • NoPoint-enabled premium performance classes
  • Post-fabrication step for CPUs, GPUs, and accelerators
  • Structured as a repeatable line process, not a lab experiment

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.

Business Model

Dual-track strategy to revenue and scale

Near term
Service deployments
  • Cryptocurrency mining operations
  • High-performance consumer systems and boutique PC builders
  • System integrators and refurbishers
  • Fast-cycle customers who feel gains immediately
Long term
Enterprise & licensing
  • Cloud and AI data centers, per-rack or per-cluster treatment
  • OEM and server vendors with NoPoint-enabled performance SKUs
  • Structured licensing for large fleets and strategic partners

Service deployments generate revenue now. Enterprise and licensing turn NoPoint into an efficiency layer across the stack.

NoPoint

More compute from what already exists

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.

Team

Built to execute

Josh Ascalon
Founder | Inventor
Scott Metzger
Co-founder | Fmr Executive Director of Technology, Sony | Nurulize
Boris Western
Chief Scientist | Fmr physicist at the Sanford Underground Research Facility | Intellectual Ventures
Nathaniel Price
Strategic Development

Advisors

Pablos Holman
Inventor and technologist | Blue Origin | Intellectual Ventures | Deep Future
Dr. Edward T. Canuel
Advisor on critical infrastructure and energy | Former White House National Security Council
Raising via SAFE note
$300K pre-seed bridge
Six-month runway to Series A positioning
Strengthen IP Protection
Multiple patents pending. Broaden claims, file internationally.
Data Center Validation
Validate on current-gen hardware. H200/Blackwell long-term studies.
Enterprise Rack Treatment System
Finalize design, build production unit.
Launch Treatment Service
Deploy on-site treatment service to initial enterprise customers.
This bridge unlocks: a $3–5M Series A to scale enterprise partnerships.

Terms available upon request. Contact info@nopoint.tech.

NoPoint Technology
More compute. Less waste. Same chips.
NoPoint Technology Inc. | Brooklyn, NY | Founded 2025
info@nopoint.tech

NoPoint Technology is patent pending. Technical documents, detailed validation data, and methodology are available upon request under NDA.