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China Challenges NVIDIA with New ‘Chana’ Chip

by Carlos Mendoza

Key Takeaways

Created with AI - we're still experimenting, so apologies if it misses the mark

  • Chinese startup CL Tech has developed a new AI processor, Ghana, claiming it to be 50% faster than Nvidias A100 and offering a 42% reduction in per-unit computational cost.
  • Ghana is a General Purpose Tensor Processing Unit (GPTPU) designed specifically for handling neural networks, unlike traditional GPUs adapted for AI processing.
  • The development of Ghana comes as China seeks domestic alternatives to navigate trade restrictions and limited access to U.S. GPUs, with several Chinese tech companies increasing their investment in chip development.
  • CL Tech plans to begin mass production of Ghana in 2023, positioning it as a potential competitive option for data centers within China, particularly for companies seeking to train AI models without relying on sanctioned imported hardware.

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China’s CL Tech Announces AI Processor ‘Ghana’, Claiming 50% Faster Than Nvidia’s A100

Chinese startup CL Tech (Zhonghao Xinying), led by a former Google engineer, has announced the development of a new AI processor, called Ghana, claiming it outperforms Nvidia’s A100. This announcement comes as China seeks domestic alternatives to navigate trade restrictions and limited access to U.S. GPUs. Several Chinese tech companies are increasing their investment in chip development. Alibaba’s Wu has stated that strong customer demand for AI hardware cannot be met due to these restrictions. Baidu’s entry into chip development is driven both by the scarcity of U.S. GPUs and the opportunity to serve a growing domestic market for AI hardware compliant with Chinese regulations. CL Tech presents Ghana as a General Purpose Tensor Processing Unit (GPTPU) designed to compete with foreign AI chips, including Nvidia’s graphics cards, in model training and live inferencing. CL Tech claims its ASIC chips perform up to 1.5 times faster than Nvidia’s A100 GPU (released in 2020 as part of the Ampere architecture). However, reports suggest Ghana achieves performance closer to 50% faster than the A100, positioning it behind Nvidia’s Hopper architecture (2022) and the latest Blackwell Ultra hardware.

China’s Homegrown Ghana TPU Challenges AI Market with 50% Speed Boost, 42% Cost Reduction

CL Tech emphasizes that its homegrown TPU is built entirely using its own intellectual property, independent of Western firms, software, or components for development, design, or manufacturing. The company further claims that Ghana offers a 30% reduction in power consumption compared to Nvidia, along with a 42% reduction in per-unit computational cost. These claims warrant further scrutiny, pending real-world performance data. CL Tech plans to begin mass production of Ghana in 2023. The company emphasizes that the GPTPU is specifically designed from the ground up to handle neural networks, unlike traditional GPUs adapted for AI processing. Google’s recent move to sell its in-house tensor processing units directly to major tech firms like Anthropic and Meta Platforms intensifies competition in the AI chip market. If CL Tech’s performance and cost metrics are validated, Ghana could present a compelling option for data centers, particularly within China, where companies seek to train AI models without relying on sanctioned imported hardware. Additional information was sourced from Tugatech (Portugal) and the South China Morning Post.

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China Challenges NVIDIA with New 'Chana' Chip ax800 converged accelerator 1ccw 6

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