CARDIAC-PURRPrevent GPU Thermal Throttling in Sustained AI Workloads
CARDIAC-PURR is a software-only control system that keeps an AI processor inside a stable temperature band, preventing hardware thermal throttling before it starts.
Technology Orientation
What Is GPU Thermal Throttling?
GPU thermal throttling occurs when a GPU's temperature reaches a predefined threshold — typically around 85°C — and the driver reduces clock frequency to prevent overheating. NVIDIA's own TensorRT-RTX documentation identifies thermal throttling as a direct factor affecting inference performance and benchmark stability, recommending only physical cooling improvements and monitoring as mitigation.
GPU Thermal Throttling vs. GPU Power Throttling
These are related but distinct failure modes. Thermal throttling is triggered by temperature; power throttling is triggered separately when average power draw reaches the configured power limit, causing the driver to lower clock frequency to stay under that cap. Both produce the same symptom — unpredictable clock drops under sustained load — but require different diagnosis and, in CARDIAC-PURR's case, are addressed through the same preventive software-control layer.
The Problem
Thermal protection is necessary. Reactive throttling is expensive.
Every GPU, TPU, and NPU ships with a hardware thermal protection circuit that collapses clock speed once the chip runs too hot. Under sustained AI workloads, that protection can turn a high-performance processor into an unpredictable bottleneck.
Traditional approaches such as power caps, firmware P-state management, and utilization governors respond after the thermal threshold is crossed. CARDIAC-PURR is designed around prevention: keeping the processor inside a stable operating band before hardware protection is triggered.
How It Is Different
Prevent the crossing, not just the consequence.
CARDIAC-PURR runs entirely in ordinary user-space software, above the device driver, with no kernel modifications, no firmware changes, no hardware register access, and no elevated privileges.
User-space deployment
Designed for cloud tenants and software operators who cannot change the underlying hardware or firmware stack.
Preventive control
Acts before throttle onset, rather than waiting for hardware protection to collapse processor frequency.
Measured evidence
Validation is grounded in telemetry and hardware performance monitoring counters, not inference or self-reporting.
Why The Name
Two biological feedback systems, one software control principle.
The control principle borrows from two biological feedback systems: the way a heart maintains rhythmic stability through continuous self-correction, and the way a purr sustains a steady low-frequency vibration through similar self-regulating oscillation.
CARDIAC-PURR applies that same self-regulating principle to keep a processor's temperature in a stable band - through software, not hardware.
Validated Results
Testing GPU thermal throttling under sustained AI load: zero events recorded.
Validated across sustained cloud GPU workloads, CARDIAC-PURR operates above the device driver in ordinary user-space software.
Direct confirmation
Throttle absence was confirmed directly by hardware performance monitoring counters, not inferred from external symptoms.
Clock stability
Clock speed stayed above 75% of maximum rated frequency throughout, versus collapsing below 40% in the pre-invention baseline on identical hardware.
Multi-cloud path
Validated on AWS Cloud with NVIDIA T4 and L4 GPUs, with H100 validation currently in progress on OVH Cloud infrastructure.
FAQ
Public-safe technical orientation.
Hardware thermal-throttle risk. The validated 168-hour run recorded zero throttle events, confirmed by hardware performance monitoring counters, versus continuous throttling and clock collapse in the untreated baseline on identical hardware.
No. It runs entirely in user-space software above the device driver, with no kernel modifications, no firmware changes, no hardware register access, and no elevated privileges.
In the primary validation run, clock speed was sustained above 75% of maximum rated frequency, compared to below 40% in the pre-invention baseline under the same workload and power envelope.
NVIDIA T4 and L4, with H100 validation now in progress on OVH Cloud infrastructure.
The control method is designed to be processor-architecture-independent and to extend to accelerators that expose thermal telemetry through a software-accessible interface, but this has not been independently validated beyond NVIDIA GPUs.
No. Specific implementation details are withheld pending full patent prosecution. Full technical documentation is available under mutual NDA.