Chinese-Made GPUs Power Up AI Models: Moore Threads and Baidu Lead the Charge

Chinese GPU makers Moore Threads and Baidu's Kunlun are powering DeepSeek AI models, showcasing China's growing strength in the AI hardware race .

The race for AI dominance is warming up globally. China is demonstrating strong momentum. This competition involves not just AI model development, but also the hardware to run them efficiently. Chinese GPU makers like Moore Threads and Baidu's Kunlun are becoming central figures in this AI revolution. They now offer full support for DeepSeek's R1 Large Language Models on their domestically produced GPUs.

Chinese-Made GPUs Power Up AI Models: Moore Threads and Baidu Lead the Charge

Moore Threads Leads the Fray

Moore Threads, a notable GPU manufacturer in China, announced that their MTT S80 and MTT S4000 GPUs support distillation models by DeepSeek. This is significant. It means Chinese professionals and consumers can operate advanced AI models directly on their systems using Moore Threads hardware. The MTT S4000, designed for workstation environments, is also used in Moore Threads' KUAE cluster—an in-house AI cluster built for heavy AI workloads.

This is a considerable achievement for Moore Threads. By enabling local operation of DeepSeek's AI models, they enhance the practical application of their GPUs. They also empower Chinese professionals to utilize the latest AI technologies on their desktops. While direct performance comparisons against NVIDIA or AMD for specific AI tasks are limited, the focus is on establishing a strong domestic AI ecosystem. This provides viable alternatives and stimulates innovation within China's tech sector, rather than immediate outperformance of global leaders.

Baidu's Kunlun Core P800 and AI Clusters

Baidu, a Chinese tech heavyweight, also plays a crucial role. Their Kunlun Core P800 AI chips are already powering Baidu's own AI clusters. Reports indicate the Core P800 delivers superior performance—20-50% better in certain tasks compared to comparable mainstream GPUs. It excels at 8-bit inference while maintaining low deployment and maintenance costs. Importantly, these chips are designed to fully support DeepSeek's V3 and R1 AI models. This makes their deployment for inference remarkably straightforward.

Baidu's ambitious AI cluster is reportedly composed of 30,000 Core P800 GPUs and is potentially formidable. Such large-scale deployment emphasizes China's dedication to building self-sufficient AI capabilities. This aims to minimize reliance on international technologies.

A Shift to Domestic Tech Independence

The combined efforts of Moore Threads and Baidu in supporting DeepSeek's AI models indicate China's progression towards a self-reliant, competitive AI industry. They are prioritizing domestic hardware and software solutions, actively participating in and shaping the future of the global AI race. This drive for technological independence could have lasting effects on the global tech landscape. It fosters innovation and competition from new regions globally.

About the author

mgtid
Owner of Technetbook | 10+ Years of Expertise in Technology | Seasoned Writer, Designer, and Programmer | Specialist in In-Depth Tech Reviews and Industry Insights | Passionate about Driving Innovation and Educating the Tech Community Technetbook

Post a Comment

Join the conversation