🚀 How much AI performance do you really need at the edge?

From 35 TOPS to over 2000 TFLOPS, the demand for Edge AI computing is growing rapidly across industries such as smart manufacturing, robotics, vision AI, and intelligent automation.

At WeLink, we are building a versatile Edge AI computing portfolio designed to support wide-range, high-efficiency AI inference—from compact embedded systems to ultra-powerful AI platforms.

💡 One Ecosystem. Multiple AI Architectures.

Our latest platforms integrate Intel, ARM, and NVIDIA technologies, enabling developers to deploy the right level of AI performance for their applications.

🔸 Intel® Meteor Lake / Arrow Lake Edge Mini PC
Compact x86 embedded systems with Intel® AI Boost NPU, DDR5 memory up to 96GB, and quad-display support for intelligent edge applications.

🔸 Rockchip RK3588 Edge AI Box PC

Dual AI Engines: RK3588 (6 TOPS) + Kinara Ara-2 (40 TOPS) for high-performance inference supporting 8K multimedia processing, high-speed connectivity, and rich industrial I/O.

🔸 Hybrid AI System (NXP + Kinara)
A dual-AI architecture delivering up to 42 TOPS, optimized for scalable edge inference and vision AI workloads.

🔸Next-Generation Intel Panther Lake Edge AI System
Supporting up to 95 TOPS AI performance, enabling real-time AI applications across the edge.

🔸 NVIDIA Jetson Thor Rugged AI Platform
Extreme AI performance reaching 2070 TFLOPS, designed for low-latency, real-time AI deployment.

From Compact to Extreme AI Performance

Whether you’re building:

✅Smart vision systems
✅ Industrial automation platforms
✅ Robotics & AMR solutions
✅ Intelligent edge analytics

WeLink provides scalable Edge AI systems designed for real-world deployment.

🌐 The future of AI is at the edge — and it needs the right computing platform.

Let’s explore how WeLink Edge AI solutions can power your next innovation.

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