Adaptive Current Modulation
More AI output. Less power.
Up to 21%
Less GPU die power, measured
Up to 27%
More accelerators fit the same envelope, derived
Workload swings strand power in AI factories. ADAPT reads each GPU's power signal and sets its operating point in real time, so the same work draws less, inside the power you already hold. The 21% is measured at the GPU die over 48 hours on NVIDIA H100 NVL, and the 27% is derived from it.
Up to 21%
Less GPU die power, measured
Sustained across a continuous 48 hour window.
0%
Throughput change in the run, derived
Every service level intact, on up to 21% less GPU die power.
Up to +22%
Tokens per watt, derived, balanced mode
The same tokens on less energy.
118 days
Of testing
Across six accelerator architectures.
Signed per GPU energy records, hash linked and auditable by a third party, across 118 days of testing on six accelerator architectures.
The method
Sense, predict, determine, control.
Four steps, run continuously on the rail, on hardware you already own.
- 110
Sense
Read the rail as a signal rather than as an average.
- 120
Predict
Anticipate the next demand from the shape already present.
- 130
Determine
Choose the correction that holds the envelope.
- 140
Control
Apply it, then measure the result and repeat.
Who this is for
If you own the power budget, the capacity plan or the silicon roadmap, there is a path here for you.
Six seats at the same table. Pick the one that matches your role and read the outcome in your own units.
Why now
You cannot build your way out. You can stop wasting what you already have.
Power, not chips, is the ceiling on AI data centres. It can take up to seven years to connect new capacity in Europe, and in North America electrical equipment lead times run 18 to 54 weeks by category. Meanwhile every GPU you own holds power it never uses, because the ceiling was sized for the worst case.
You are already paying for every megawatt. ADAPT turns the wasted part of each megawatt into sellable compute.
A new grid connection
- Time
- Up to seven years, Europe
- Capital
- Grid and civil works
- What you get
- More megawatts, eventually
New electrical equipment
- Time
- 18 to 54 weeks by category, North America
- Capital
- Capital project
- What you get
- More megawatts, eventually
More accelerators
- Time
- Lead time plus install
- Capital
- Hardware capital
- What you get
- Helps once power is freed inside the envelope
ADAPT, one software install
- Time
- Hours
- Capital
- None
- What you get
- Capacity released from hardware already racked
| Route to more compute | Time | Capital | What you get |
|---|---|---|---|
| A new grid connection | Up to seven years, Europe | Grid and civil works | More megawatts, eventually |
| New electrical equipment | 18 to 54 weeks by category, North America | Capital project | More megawatts, eventually |
| More accelerators | Lead time plus install | Hardware capital | Helps once power is freed inside the envelope |
| ADAPT, one software install | Hours | None | Capacity released from hardware already racked |
Stated, cited. Grid connection: Amazon Web Services, reported by Reuters, 3 February 2026. Electrical equipment lead times: McKinsey and Company, March 2026.
The breakthrough
Everything else in the rack reads a number. ADAPT reads a pattern.
Adaptive Current Modulation reads, predicts and reshapes a power signal in the frequency domain. Conventional control measures an average and corrects after the event. ADAPT recognises the workload's signature and gives it exactly the power it needs, before the excursion arrives.
Compute is measured today, on NVIDIA H100 NVL. Every other domain is designed on the same method, with its depth shared with licensees under agreement.
The products
Three licensing vehicles, one method.
The instrument
Set your envelope. Read your released capacity.
Building new power is capital you spend once and then wait for. Power the runtime frees works for you every year, one of two ways: electricity you stop buying, or capacity you keep inside the envelope you already hold. Put in your own fleet, site power and prices, and read both.
+2.1MW released
At the reduction measured in testing. Measured on production NVIDIA H100 NVL under an equal power cap on managed and baseline arms. Your fleet baseline confirms the figure for your site.
The complete system
One controlled signal, from silicon to the grid.
Move through the power path and see where Intelligent Power Management Module, AI-Driven Adaptive Power Technology and ATHLAZ Power Network act.
Six line drawings step outward along the power path: a processor package with the rail into its die, one rack of eight compute units on a power spine, a data hall from above with power reaching every rack, a substation and transmission lines feeding several facilities, a wireframe globe of linked sites, and an orbital platform with solar arrays above the Earth. Each drawing marks the power path in green, and the panel beside it names the ATHLAZ product acting at that scale: iPMM at the chip, ADAPT at the rack and the facility, and the ATHLAZ Power Network from the grid outward.
Scale 1 of 6
Control begins at the die.
Intelligent Power Management Module brings programmable power into the silicon power path and the rail that feeds it.
iPMM at this scale+2.1 MW
Released
+26
80 kW racks
Guides
Data centre power, in plain words.
Six guides that answer the question first, then say where ATHLAZ fits.
Company
We are giving energy a brain.
Solving the energy of today funds the breakthroughs of tomorrow, because energy is the constraint sitting underneath every other constraint worth removing.