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The original was posted on /r/artificial by /u/NuseAI on 2023-11-04 23:48:21.

• China’s ACCEL chip, developed by Tsinghua University, is claimed to be 3000 times faster than Nvidia’s A100 GPU and has 4000 million times higher energy efficiency.
• The chip leverages photonic and analog computing in a specialized architecture, delivering over 3000 times the performance of the Nvidia A100 at an energy consumption that’s four million times lower.
• ACCEL can perform 4.6 trillion operations per second in vision tasks, which is a significant improvement compared to Nvidia’s A100.
• The chip has shown high accuracy levels in various computer vision applications, including Fashion-MNIST, 3-class ImageNet classification, and time-lapse video recognition tasks.
• ACCEL operates through diffractive optical analog computing (OAC) and electronic analog computing (EAC), with 99% of its operation implemented within the optical system.
• The photonic, optical system of ACCEL reduces energy requirements and waste heat, resulting in higher energy efficiency compared to digital systems like Nvidia’s GPU.
• The chip’s low computing latency and high throughput make it suitable for real-time applications.
• ACCEL is considered an analog rendition of an Application-Specific Integrated Circuit (ASIC) design, with the electronic analog computing (EAC) unit reconfiguring analog pathways to accelerate specific tasks.
• The development of ACCEL represents a significant achievement in computing architecture for the AI era, with potential practical applications in various fields.

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