The "mutual promotion" between domestic large models and domestic computing power has once again achieved significant progress. On February 12, 2026,
Core hardware: Full-function GPU smart computing card MTT S5000
As the main character of this adaptation, the MTT S5000 is a hardware foundation specifically designed for large model training, inference, and high-performance computing:
Self-developed architecture: Based on Molyneux's fourth-generation MUSA architecture—**"Pinghu"**.
Peak computing power: The single-card AI computing power can reach up to 1000 TFLOPS.
All-round positioning: It not only supports efficient training of large-scale models but also meets the real-time inference needs in complex scenarios.
Technical significance: Accelerating the "full-chain domestication" of the AI industry
Zhipu's GLM-5, as a leading domestic large model, has a massive parameter scale and complex logic, which places high demands on the computing power platform. The successful completion of this adaptation means:
Ecosystem integration: Domestic self-developed GPUs can stably and efficiently support the full-process operation of top domestic large models.
Cost reduction and efficiency improvement: It provides enterprise users with AI solutions based on domestic computing power, further reducing the barriers and cost risks of deploying large models.
Industry observation:
With the popularity of products like DeepSeek, the market's demand for high-performance computing has reached an unprecedented level.
