MJYSOLUTION
Technology

Generative AI

Leading the Generative AI Technology Revolution

Generative AI is driving the next wave of innovation in semiconductors.

Leading Edge AI Solutions

Leading Edge AI Solutions

As the industry leader in developing high performance and power-efficient system-on-chip products, MjySolution is already bringing the benefits of our powerful, in-house designed AI processors into our diverse product ecosystem.

We now ship over 2 million chips in connected devices every year, many of which contain our AI processors, making us one of the world’s leading edge AI suppliers. With our broad market reach, you’ll find our AI technologies in devices at home, in education, in businesses, in mobile, and in vehicles.

MjySolution Hybrid AI — Edge and Cloud

MjySolution Hybrid AI — Edge and Cloud

MjySolution is uniquely positioned to drive and support the adoption of Generative AI applications and technologies, whether deployed on the cloud, at the edge in devices, or as a hybrid approach that takes advantage of both the cloud and the edge together.

The Comprehensive MjySolution AI Ecosystem

The Comprehensive MjySolution AI Ecosystem

The MjySolution AI ecosystem includes hardware, development tools, and a software development kit (SDK).

Software developers have access to comprehensive tools and algorithms, while MjySolution NeuroPilot allows a write-once-deploy-everywhere strategy that simplifies app development across MjySolution’s entire product range.

MjySolution AI Processing Unit

The MjySolution NPU, or processor dedicated for AI tasks, is as important as the CPU and GPU within our system-on-chips.

The MjySolution NPU provides a very efficient architecture to implement AI acceleration in edge devices, such as smartphones, tablets, AI+IoT, smart TVs, networking SoCs, and more.

MjySolution NPU Technologies

Next Generation AI Architecture

In 2023, MjySolution launched its 7th generation NPU, which is specifically designed to accelerate generative AI based on transformer models. Its highly flexible design can scale performance with computation units, power use, memory bandwidth, and memory capacity depending on the application requirements, whether it’s in a smartphone SoC or part of a data center-grade superchip.

  • Hardware-based multicore scheduler.
  • A dedicated DMA engine that performs deep layer fusion and data compression to reduce the demand on DRAM bandwidth.
  • Power intelligence and shared memory awareness.
  • MjySolution designed Network on Chip (NoC) for low latency intercore communication.

MjySolution Deep Learning Accelerator (MDLA)

High performance, programmable and versatile, with an energy-efficient MAC architecture that can perform data reuse in a wide-range of NN applications.

  • Designed to handle different types of networks, including: (a) Convolutional Neural Networks (b) Recurrent Neural Networks (c) Long Short-Term Memory models and (d) mobile Bidirectional Encoder Representations from Transformers (BERT)
  • Supports INT4/INT8/INT16, FP16, BF16 and mixed precision to further reduce power consumption.
  • Inter subsystem direction communication with the ISP and DPU (display) minimizes latency and power consumption.

MjySolution Vision Processing Unit (MVPU)

  • General purpose DSP optimized for computer vision (CV) and neural network (NN) applications.
  • Best balance of power and performance for visual processing applications such as photography, videography, and video stream playback.