Why ThermiQ™
Engineered Thermal Management For Real-World Environments
ThermiQ™ Edge AI Cooling Solutions are purpose-engineered thermal systems designed to sustain AI performance in space-constrained, high-power Edge deployments. Built on decades of rugged embedded experience, ThermiQ™ brings system-level clarity to one of the hardest problems in Edge AI: maintaining stable performance under real operating conditions.
ThermiQ™ provides a critical solution to an important pillar in CTI’s EdgeAI Stack for autonomous deployments.
Built on Proven Jetson Experience
Purpose-Built for Edge AI
ThermiQ™ is not generic thermal hardware. It is cooling designed specifically for sustained AI workloads at the Edge, where compact form factors, elevated ambient temperatures, shock / vibration, and continuous operation intersect. This focus clearly differentiates ThermiQ™ from:
- General industrial cooling vendors
- Data-center-centric thermal solutions
- Commodity embedded heat sink suppliers
System-Level Engineering, Not Just Components
ThermiQ™ reflects how Connect Tech engineers real systems:
- Designed for sustained clocks, not short performance bursts
- Aligned to Jetson power modes and operating envelopes
- Engineered with enclosure constraints, airflow, shock, vibration, and altitude in mind
The result is deterministic thermal behavior that is stable, repeatable, and production-ready.
ThermiQ™ Thermal Solutions Portfolio
ThermiQ™ Edge AI Cooling Solutions are available as standalone products for the NVIDIA Jetson family and provide a proven starting point for both new and existing designs.
ThermiQ™ Active Cooling
Fan-assisted solutions optimized for sustained AI workloads in compact deployments.
ThermiQ™ Passive Cooling
Fanless, rugged heat sink designs for environments where reliability is critical and moving parts are not an option.
ThermiQ™ Cold Plate Solutions
Direct-contact thermal interfaces designed for conduction-based cooling and sealed systems.
ThermiQ™ Liquid Cooling
High-capacity thermal systems for extreme power densities and constrained airflow scenarios.
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Built on Proven Jetson Experience
As one of the first NVIDIA Jetson partners, Connect Tech has been designing and manufacturing thermal solutions for Jetson platforms since TX1. Our engineering teams combine mechanical design, advanced thermal analysis, and real production experience. This effectiveness and reliability of these products are already validated across thousands of deployed systems.
ThermiQ™ solutions are proven in:
- Robotics and Autonomous Systems
- Industrial Automation, Transportation, and Mobile Platforms
- Military and Aerospace Deployments
- Rugged and Harsh Operating Environments
- Small- and Large-scale Production
This depth of experience informs every design decision, from fin geometry and airflow paths to mounting strategies and manufacturability, ensuring predictable results from prototype through production.
A Smarter Starting Point
Whether you are:
- Selecting a proven Connect Tech solution
- Developing a new Edge AI product
- Scaling an existing design into production
ThermiQ™ gives you access to production-tested thermal designs and the same engineering mindset behind Connect Tech’s Jetson platforms without having to solve thermal challenges alone.
ThermiQ™ by Connect Tech
Backed by decades of rugged embedded innovation and deep Jetson expertise, ThermiQ™ Edge AI Cooling Solutions deliver thermal management required for real-world deployment.
ThermiQ™ isn’t just cooling. It is engineered thermal management for Edge AI systems that must perform reliably in real-world environments.
Connect Tech Inc. is a global leader in embedded computing solutions for AI, robotics, IoT, and Edge applications. Specializing in NVIDIA Jetson platforms, AI Edge devices, and custom embedded systems, Connect Tech empowers industries like autonomous vehicles, smart cities, industrial automation, and defense with high-performance, ruggedized hardware. Explore cutting-edge AI inferencing, real-time Edge processing, and scalable embedded platforms at – your partner for next-gen Edge AI deployment.