On the morning of August 29th, Beijing time, Intel officially announced the launch of the next-generation Movidius vision processing chip this week. This new chip boasts enhanced processing capabilities, making it suitable for cutting-edge devices such as drones, virtual reality headsets, smart cameras, wearable tech, and robots.
Movidius, now a subsidiary of Intel, was acquired by the tech giant in September. Known for developing machine and PC vision technologies, Movidius has unveiled its latest VPU (Visual Processing Unit), the Myriad X system-on-chip. This chip features an independent compute engine and supports edge deep-learning inference. Accompanying this announcement was an image showcasing the new chip, displayed prominently on various tech blogs.
When designing the chip, Intel focused on optimizing hardware for deep neural networks, enabling faster and more energy-efficient execution of these complex models. Intel claims that the deep neural network accelerator within the chip can handle over one trillion operations per second during DNN inference tasks.
Remi El-Ouazzane, Intel's vice president, expressed enthusiasm about their position at the forefront of computer vision technology. He noted that deep learning is becoming the standard for billions of devices we interact with daily, marking a significant advancement in human vision intelligence.
The Myriad X chip is compact yet powerful, which Intel sees as a key advantage for integration into their device platforms. Beyond the neural engine, it includes a 128-bit VLIW vector processor, an increased number of configurable MIPI channels, enhanced visual accelerators, and 2.5 MB of on-chip homogeneous memory.
This development not only underscores Intel's commitment to advancing AI and machine vision but also highlights the growing importance of edge computing in delivering smarter, more efficient solutions across industries. As AI continues to evolve, chips like the Myriad X will play a crucial role in enabling the next wave of intelligent devices.
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