Development, migration, and deployment services will be available, with Connect Tech carrier boards ready alongside module launch in Q1 2027

For Immediate Release

Guelph, ON, Canada, July 15, 2026 — Connect Tech (CTI), today announced full support for the new NVIDIA Jetson T3000 and T2000 modules, expanding the NVIDIA Jetson Thor family with compact, power-efficient options for deploying Edge AI at scale.

We have seen strong adoption of the NVIDIA Blackwell architecture through Jetson T5000. For teams building AI-powered products at the Edge, the T3000 and T2000 extend that same technology into lower power and space constrained robotics, autonomous machines and Edge AI systems. Teams can now scale across a broader range of deployments while maintaining a common architecture, software platform, and development environment. The Jetson T3000 delivers similar LLM, VLM, VLA, and world foundation model inference performance of the Jetson T5000 at roughly half the size and power. Built on the same Blackwell GPU architecture, both modules will be available in Q1 2027.

Teams do not need to wait for hardware. Development can begin using T3000 emulation mode on NVIDIA Jetson AGX Thor including Connect Tech Anvil-T5, Gauntlet, and Rogue-T5 platforms running the complete NVIDIA software stack, including NVIDIA Isaac ROS, and open models such as NVIDIA Nemotron, NVIDIA Cosmos 3, and NVIDIA Isaac GR00T. CTai LABS, a department of Connect Tech, offers emulation and migration services, so software validated on Jetson T5000 platforms today can move to T3000 production hardware when it ships.

As customers plan for production, selecting the right module means balancing performance, memory, I/O, power, cost, and long-term availability. Current memory supply and pricing pressures make that decision even more important. For applications that do not require full performance, memory capacity, or I/O flexibility of T5000, the T3000 provides a more cost-effective option while retaining the NVIDIA Blackwell architecture and high memory bandwidth. CTai LABS helps customers right size compute, memory and I/O requirements, evaluate deployment needs and align their platform strategy with the NVIDIA roadmap.

“Jetson T5000 has seen exceptional early adoption across our customer base,” said Rob Callaghan, Chief Product Officer at Connect Tech. “The T3000 and T2000 give customers a clear path to scale the NVIDIA Blackwell architecture across humanoids, autonomous machines, and high-volume Edge AI systems while maintaining a common NVIDIA software platform. Connect Tech will be enabling T3000 evaluation and will support production with carrier boards and rugged systems. Through CTai LABS, customers can begin architecture, software, and camera integration now, supported by our partner ecosystem to reduce risk and accelerate time to market.”

For Connect Tech customers, the impact reaches across the entire Edge AI stack: carrier boards and rugged systems engineered for the new modules, BSPs, and software support ready at launch, emulation and migration services to move existing work forward, and AI development expertise through CTai LABS to take a design from proof of concept to production. A new module launch is not just new hardware; it is a new deployment path, and Connect Tech supports every layer of it.

To discuss a migration plan, memory configuration options, or proof of concept, contact Connect Tech at connecttech.com or CTai LABS at ctailabs.ai.

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About Connect Tech
Founded in 1985 and headquartered in Guelph, Canada, Connect Tech Inc. (CTI) is a global leader in rugged edge AI computing platforms engineered for robotics, autonomous systems, and mission-critical applications. For over 40 years, CTI has designed and manufactured in-house, delivering reliable edge AI architectures that unify compute, vision, networking, and thermal technologies to accelerate customers’ time to market in demanding real-world environments. Through its CTai LABS AI Engineering team, CTI transforms its EdgeAI Stack into deployable, production-ready physical AI solutions at scale.  For more information, visit connecttech.com.

 

About CTai LABS

CTai LABS, a department of Connect Tech, is a full-stack AI engineering team, built to accelerate the deployment of physical AI on Edge platforms. Backed by Connect Tech’s proven expertise in embedded computing and NVIDIA ecosystem integration, CTai LABS delivers end-to-end engineering for robotics, vision, and AI-driven systems from concept to deployment. For more information, visit ctailabs.ai.