Domestic Tech Breakthrough Bridges AI Hardware-Software Gap

In a significant step forward for China's artificial intelligence ecosystem, Moortu announced its flagship MTT S5000 GPU has completed full-process adaptation with Zhipu AI's latest GLM-5 large language model. The achievement, confirmed February 12, marks progress in creating an entirely domestic AI infrastructure chain.

The Hardware Powering China's AI Ambitions

The MTT S5000 represents Moortu's answer to growing demand for localized computing power:

• Custom Architecture: Built on Moortu's fourth-generation "Pinghu" MUSA design
• Impressive Performance: Delivers up to 1000 TFLOPS of AI computing power per card
• Dual Capability: Handles both intensive model training and real-time inference tasks

"This isn't just about raw performance," explains a Beijing-based semiconductor analyst. "The real value comes from optimizing domestic hardware specifically for Chinese-developed AI models."

Why This Compatibility Matters

The GLM-5 integration addresses several critical challenges:

Ecosystem Development Previously, many Chinese AI companies relied on foreign GPUs despite potential supply chain risks. The successful pairing demonstrates homegrown alternatives can meet demanding computational requirements.

Cost Considerations Localized solutions may reduce expenses associated with importing expensive hardware while avoiding potential geopolitical complications.

Industry observers note the timing aligns with surging demand following successful launches of products like DeepSeek. As enterprises increasingly adopt large language models, having reliable domestic options becomes strategically important.

Key Points:

• Moortu's MTT S5000 GPU achieves full compatibility with Zhipu GLM-5 LLM
• Milestone strengthens China's domestic AI infrastructure capabilities
• Single-card performance reaches 1000 TFLOPS using custom "Pinghu" architecture
• Development could lower adoption barriers for Chinese businesses implementing AI solutions