MediaTek is betting big on artificial intelligence to fuel the next wave of growth in the Internet of Things, pairing its chip design expertise with NVIDIA’s AI ecosystem to power smarter, faster, and more efficient connected devices.
The Taiwanese semiconductor giant is expanding aggressively into industrial IoT, combining its Genio platform with NVIDIA’s software tools to cut development times and bring advanced AI capabilities to the Edge.
“The industrial IoT market is incredibly fragmented,” said Pascal Lemasson, MediaTek’s AVP of Business Development and Sales. “You have robotics, medical devices, smart factories, and consumer-grade connected products—all with their own development cycles and standards. Coming from a consumer background, it was a major challenge, but we’ve now built the ecosystem to support multiple players and operating systems.”
Speaking at a media event in London this morning, Lemasson said, that the company’s IOT strategy centred around the Genio product family—MediaTek’s line of processors that balance AI performance, computing power, and power efficiency.
The latest chip, Genio 720, delivers up to 10 TOPS (trillions of operations per second) of AI performance, bringing high-end intelligence to industrial and consumer IoT systems alike. Lemasson described it as “hitting the sweet spot” between performance and cost, an increasingly important equation for manufacturers deploying smart automation and robotics at scale.
The Genio range underpins MediaTek’s push into smart factories, medical devices, and connected appliances, as well as “prosumer” devices such as fitness equipment and service robots. The company has already secured European design wins with companies including SECO Tech, and is making strong inroads in point-of-sale systems and wearables.
MediaTek expects its European IoT and industrial revenues to double this year and grow by a further 40–50% in 2026.
A cornerstone of this strategy is MediaTek’s collaboration with NVIDIA, which Lemasson called “mutually reinforcing.” MediaTek’s Genio chips now integrate NVIDIA’s TensorRT and TAO AI toolkits, allowing developers to deploy pre-trained AI models directly onto MediaTek platforms. “That can reduce development time from several months to just a few weeks,” he said.
The partnership also works the other way round: NVIDIA is incorporating MediaTek’s CPU technology into its Grace Blackwell Superchip, which targets AI-driven data centres and edge computing systems. “It’s a two-way relationship,” Lemasson noted. “We leverage NVIDIA’s GPU and AI software for industrial and automotive applications, and they use our CPU and system-on-chip know-how for their next-generation platforms.”
By uniting MediaTek’s hardware efficiency with NVIDIA’s software ecosystem, the collaboration aims to make AI more accessible for IoT manufacturers building hybrid systems that run workloads both on-device and in the Cloud.
“IoT is no longer just about connectivity,” Lemasson said. “It’s about intelligence at the edge—processing, interpreting, and acting locally. That’s where MediaTek, together with NVIDIA, is positioning itself.”
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