AI-Driven Adaptive Power Technology (ADAPT), software, shipping now
More AI output. Less power.
ADAPT is GPU power management software: a per-GPU runtime that makes power programmable. No throughput change in the measured run, less energy, installed in hours on the fleet you already have. No hardware, no downtime, no access to your workload.
Up to 21%
Less GPU die power, measured
Sustained across a continuous 48 hour window.
0%
Throughput change in the measured run
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.
Attested, not asserted. Signed per GPU energy records, hash linked and auditable by a third party, across 118 days of testing on six accelerator architectures.
Where the slack is
The headroom is already inside your GPUs.
You have demand you cannot power and a connection years away. Meanwhile every GPU you own holds power it never uses. That margin is not waste anyone chose. The ceiling was sized for the worst case.
Facility efficiency costs money. Workload efficiency saves it. ADAPT works on the workload, inside the node, where the margin actually sits.
You cannot add megawatts quickly. You can use the ones you have better.
Conventional, reactive
Measure, then cap.
The ceiling is sized for the worst case, so every rack carries power it never uses. Capping that margin after the fact costs you throughput.
Illustrative, not to scale
Shaded band: paid for, never used
ADAPT, predictive
Read, then modulate.
The draw is resolved before the excursion arrives, so the saving costs nothing. In plain terms the engine was revving at the traffic lights. ADAPT gives it only the fuel it needs.
Illustrative, not to scale
Delivered power tracks the live workload
How it works
Everything else in the rack reads a number. ADAPT reads a pattern.
Think of it as recognising a song from a few seconds of sound, except the song is a power draw. Every workload has a signature, and once ADAPT knows it, the workload is handled from memory.
Read the live draw
Every workload draws power in a pattern as distinctive as a signature. ADAPT reads that pattern in the frequency domain rather than one averaged number.
Recognise the signature
The pattern is matched against the fingerprint library. A workload seen once is handled from memory the next time, so the fleet gets leaner the longer it runs.
Apply the operating point
The workload gets exactly the power it needs, ahead of the excursion rather than after it. The same signature also flags hardware that should not be there.
Workload fingerprinting is the moat. The library only grows on fleets that run it, so the fleet that starts first stays ahead. ADAPT is the only runtime that reads and controls the power signal in the frequency domain, and the only one measured at zero throughput cost.
Where it sits
Installs in hours. Changes nothing you run.
Above ADAPT, everything asking for compute. Below it, the chip's own plumbing. It never touches your workload and never touches your hardware. It reads telemetry from above and steers the power requirement below.
Where ADAPT sits
- UNTOUCHED
Your workloads: training, inference, vLLM
No application code change.
- UNTOUCHED
Orchestration and scheduling
Respects MIG and vGPU tenant isolation.
- ADAPT
ADAPT runtime
One service per GPU. Telemetry up, policy down. Driver adjacent, above the vendor interface.
- STEERED
Power path: volts and amps to the die
Service level gated. It releases if latency slips and fails open on any fault.
- UNTOUCHED
GPU and accelerator silicon
Architecture agnostic across mixed estates.
- UNTOUCHED
Board, cooling, BMS and switchgear
ADAPT issues no commands to any of them.
Kubernetes and Helm, alongside your existing driver. No hardware, no capital works, and no power of its own. Removal restores driver defaults.
Deployment posture
Built to clear change control.
- Placement
- Driver adjacent, inside the node, above the vendor interface. One service per GPU.
- Workload access
- None. ADAPT does not read, move or inspect your data.
- Tenant isolation
- Respects MIG and vGPU isolation. It issues no commands to cooling, BMS or switchgear.
- Safety
- Service level gated. It releases if latency slips, fails open on any fault, and removal restores driver defaults.
- Estate
- Architecture agnostic. Bare metal, virtualised, colocation or your own site. Kubernetes and Helm.
- Evidence
- Prometheus and DCGM telemetry with a tamper evident, hash linked per GPU energy record, auditable by a third party.
- Commercials
- Licensed per GPU, per month. No hardware, no capital works, no power of its own.
- Measured architecture
- NVIDIA H100 NVL. The baseline arm was held at an equal power cap, whose value is released with the assessment. The result was re-derived in house from the raw archive, against the nearest archived reference, to within 0.4 percentage points.
- Other architectures
- Site arithmetic runs on your inputs. Power attribution is set by a three week baseline run on your own fleet.
What you get
Capacity in hours, not years.
Every other route to more compute is a capital project with a lead time. This is a software install on hardware already racked.
| Route to more compute | Time | Capital | What you get |
|---|---|---|---|
| A new grid connection | 5 to 7 years | Grid and civil works | More megawatts, eventually |
| New switchgear and distribution | 30 to 54 weeks | Capital project | More megawatts, eventually |
| More accelerators | Lead time plus install | Hardware capital | No help. The envelope is the limit |
| ADAPT, one software install | Hours | None | Capacity released from hardware already racked |
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.
Capacity comes first. Revenue, capital avoided, energy saved and heat removed follow from it. Start late and you keep paying for power someone else is already using.