The PIMCHIP processing-in-memory architecture integrates data storage with data computation, eliminating the energy consumption generated by data transmission. It can maximizes the "Memory-Wall" and "Power-Consumption-Wall" issues of traditional chips in artificial intelligence algorithms, and can improve computational efficiency by tens or even hundreds of times while reducing costs.
Traditional chips
Traditional chips mostly adopt the von Neumann architecture, which separates the data storage unit from the computation unit, leads to energy consumption during data transmission. Especially when large data processing, the energy consumption is relatively high. Although the production process of traditional chips is relatively mature, it faces the challenge of the slowdown of Moore's Law.
The processing-in-memory technology empowers the New Energy sector by shortening the transmission path between computing and storage, enhancing the computing efficiency of intelligent driving, and enabling efficient and precise predictions for drive assistance systems. Meanwhile, it reduces energy consumption and improves endurance, facilitating green travel more intelligent and efficient.
In the intelligent education context, multimodal intelligent chips can quickly analyze teaching resources, accurately customize learning paths, accelerate teaching interaction, and promote education towards a new stage of intelligent personalization.
The processing-in-memory technology enhances data encryption and blockchain, boosts storage and computing capabilities, accelerates data encryption processing, reduces power consumption during data transmission, elevates blockchain transaction speeds and security, and builds a solid defense for data security and privacy protection.
The processing-in-memory technology merges into smart homes, deeply merges multiple types of sensors signals, enabling instant response to home instructions, optimizing energy consumption management, enhancing the intelligent home experience, and make more convenient and comfortable in future life.
The core technology leads the intelligent industry, seamlessly integrates storage and computing resources, analyzes production data in real-time, optimizes processes to reduce energy consumption, enhances industrial intelligence, and accelerates the transformation and upgrading of the manufacturing industry.
Innovations in intelligent healthcare, efficiently integrate storage and computing capabilities, accelerating medical data processing, improving diagnostic accuracy, and reducing energy and cost consumption, thereby bringing patients a more efficient and intelligent healthcare service experience.
The processing-in-memory technology deeply fuses storage and computing. In the large model applications, it accelerates data processing, reduces latency and energy consumption, optimizes system performance, facilitates the efficient operation of AI large models, leads a new leap in intelligent technology, and opens a new chapter in AI development.
The product empowers intelligent wearable devices, achieves technological integration, real-time data processing, reduces energy consumption, extends endurance, enhances user experience, and leads the new trend of intelligent wearable devices.
