Samsung Unveils Next-Gen AI Processor for Edge Computing in IoT Devices

Samsung Electronics has announced its latest breakthrough in artificial intelligence with the launch of a next-generation AI processor designed specifically for edge computing in Internet of Things (IoT) devices. The new processor, unveiled at a virtual press event, promises to revolutionize real-time data processing, enhance device efficiency, and bolster security for a wide range of IoT applications.

A Leap Forward in Edge AI

The processor, built on Samsung’s advanced Exynos platform, integrates a high-performance Neural Processing Unit (NPU) capable of handling complex AI workloads directly on-device. Unlike traditional cloud-based AI systems, this chip enables low-latency, real-time analytics, making it ideal for latency-critical applications such as smart home devices, autonomous vehicles, and industrial automation systems.

“With the explosive growth of IoT, edge computing is the future of intelligent devices,” said Dr. Inyup Kang, President of System LSI Business at Samsung Electronics. “Our next-gen AI processor empowers devices to process data locally, reducing reliance on cloud servers while improving speed, privacy, and energy efficiency.”

Key features of the processor include:

• Enhanced NPU Performance: Delivers up to 50 TOPS (Tera Operations Per Second), enabling advanced generative AI models for image, voice, and video processing.
• Energy Efficiency: Optimized for low-power IoT devices, extending battery life in wearables, sensors, and smart appliances.
• Exynos AI Studio Integration: Supports Samsung’s proprietary toolchain, allowing developers to optimize large vision models (LVMs), large language models (LLMs), and multimodal models (LMMs) for on-device execution.
• Robust Security: Backed by Samsung Knox, the processor ensures defense-grade protection against vulnerabilities, safeguarding sensitive data processed at the edge.

Empowering IoT Ecosystems

Samsung’s processor is poised to accelerate the adoption of edge AI across industries. For smart cities, it enables real-time traffic monitoring and environmental sensing, while in healthcare, it supports wearable devices for continuous patient monitoring. In manufacturing, the chip enhances predictive maintenance and quality control through on-device analytics.

The processor also supports Multi-Access Edge Computing (MEC), leveraging 5G connectivity to create mini-clouds of interconnected IoT devices. This orchestration allows devices to share computational resources, boosting performance for applications like augmented reality and gaming.

“By bringing AI to the edge, we’re enabling a new era of hyperconnected ecosystems,” said TM Roh, President of Mobile eXperience Business at Samsung Electronics. “This processor strengthens Samsung’s leadership in IoT innovation, from smartphones and wearables to home appliances and beyond.”

Industry Collaboration and Availability

Samsung has partnered with leading IoT platform providers, including NVIDIA and Qualcomm, to ensure seamless integration with existing edge computing frameworks. The company is also collaborating with Microsoft to incorporate cloud-edge hybrid AI capabilities, similar to those seen in the Galaxy Book4 Edge.