CARDIAC-PURR
For sustained accelerator workloads where thermal throttling cuts clock speed, increases runtime variance, or wastes expensive compute allocation.
Applications
Where High Performance Must Endure
GPU thermal throttling, out-of-memory termination, and ungoverned AI routing become expensive when workloads run for hours, days, or weeks. CARDIAC-PURR Thermal, PURR SHIELD, and CARDIAC-PURR AI Control Plane target those failure modes from software.
Thermal stability
Memory resilience
Governed AI routing
Use-Case Fit
Map the failure mode to the invention.
PURR SHIELD
For long-running jobs where memory growth can trigger late-stage process termination and discard hours or days of progress.
AI Control Plane
For enterprises that need multi-provider AI execution with governance, auditability, provider selection, and execution transparency.
19 Industries
Where sustained compute failures carry real cost.
Each card identifies the relevant invention or combination. The grid is intentionally operational: what breaks, why it matters, and which layer addresses it.
Generative AI / LLM inference
Large language model training and inference workloads run for days. A single throttle event costs hours of progress.
Cloud data centres
Multi-tenant GPU infrastructure needs stable performance without hardware replacement or privileged infrastructure changes.
Gaming and interactive graphics
Thermal throttling turns premium hardware into inconsistent frame pacing, latency spikes, and visible user experience degradation.
VFX and rendering
Render farms running for weeks. A single OOM termination discards days of compute investment.
Scientific HPC
Simulation and modelling workloads depend on repeatable runtime behaviour across long, expensive compute windows.
Medical imaging
Diagnostic and reconstruction workloads need stable accelerator performance where delays and restarts affect clinical throughput.
Aerospace and defence
Mission-critical simulation, autonomy, and analysis pipelines cannot afford unpredictable thermal or memory failure during extended runs.
Financial services
Risk models, portfolio simulations, and low-latency analytics rely on predictable compute, not reactive throttling or late-stage crashes.
Autonomous vehicles / ADAS
Long validation and perception workloads need resilience against memory exhaustion while preserving progress across extended runs.
Mobile and edge AI
Constrained devices face tight thermal and memory envelopes where software-level resilience can protect sustained workloads.
Drug discovery
Screening and molecular modelling runs can lose valuable progress when long jobs terminate late or slow unpredictably.
Pharma and biotech
Regulated research compute benefits from predictable execution windows, preserved work, and reproducible operational evidence.
Energy and seismic processing
Large-scale geophysical workloads run across extended time horizons where restarts and degraded throughput carry direct cost.
Telecom
Network optimisation, routing analytics, and AI-assisted operations require reliable long-running compute under constrained resources.
Cryptocurrency
Compute-heavy workloads are sensitive to thermal performance loss, memory failure, and wasted power across continuous operation.
Education technology
AI learning platforms and classroom-scale inference need stable, affordable compute without fragile infrastructure assumptions.
Enterprise AI governance
Regulated organizations need model routing that is auditable, provider-aware, and aligned with policy constraints.
Multi-provider AI infrastructure
Teams using multiple model vendors need governed request routing, cost visibility, provider selection, and execution transparency.
Regulated AI environments
Legal, healthcare, finance, and public-sector AI deployments need traceable execution paths rather than opaque provider selection.
Buying Pattern
Some teams need one layer. Some need the stack.
Thermal only
Choose CARDIAC-PURR when the core pain is throttle-driven performance collapse during sustained accelerator workloads.
Memory only
Choose PURR SHIELD when the core pain is long-running process termination caused by memory growth.
Governance only
Choose AI Control Plane when the core pain is multi-provider AI execution, auditability, routing control, and operational transparency.
FAQ
Applications orientation.
Which industries use CARDIAC-PURR specifically?
Generative AI and LLM inference, cloud data centres, gaming, VFX and rendering, scientific HPC, medical imaging, aerospace, financial services, and other environments where thermal throttling directly costs compute time.
Which industries use PURR SHIELD specifically?
Autonomous vehicles and ADAS, mobile, scientific HPC, drug discovery, pharma and biotech, energy and seismic processing, telecom, cryptocurrency, and education technology - anywhere out-of-memory termination risks losing long-running work.
Do any industries use both?
Yes. Cloud data centres, VFX and rendering, scientific HPC, drug discovery, aerospace and defence, financial services, and cryptocurrency workloads can benefit from both thermal stability and memory resilience.
Where does AI Control Plane fit in?
Multi-provider AI infrastructure, enterprise AI governance and compliance, and regulated AI environments. It is a separate software-only governance layer, not a GPU-hardware technology.