During this critical period of coordinated development between domestic large models and computing infrastructure, the "strong combination" of domestic computing platforms and top-tier algorithm models has once again achieved success. Recently, Hygon Information officially announced that its Shen Suan 3 DCU has successfully completed deep compatibility work with the Tencent Huyuan Hy3preview large model.

This progress marks a solid step forward for domestic high-performance computing in supporting ultra-large-scale and complex logical reasoning models.

Top-tier parameter scale, domestic computing power easily "handles"

The Tencent Huyuan Hy3preview involved in this compatibility is the latest iteration of the Tencent Huyuan large model family. As one of the top open-source/closed-source models in China, its total parameter scale reaches 295B (295 billion).

Facing such a massive parameter volume, the Shen Suan 3 DCU from Hygon demonstrated excellent compatibility and computing efficiency. After the compatibility was completed, this combination can stably support the model's intensive operation, ensuring excellent performance in large-scale parallel computing tasks.

Breaking long-text limitations, empowering complex application scenarios

In addition to extreme computing scale, Hy3preview also has a significant advantage of supporting 256K ultra-long context. This means the model has stronger memory and logical association capabilities when processing long documents, extremely long code repositories, or complex continuous dialogues.

With hardware acceleration from Hygon DCU, Hy3preview has achieved breakthroughs in three core areas:

  • Complex reasoning: improved the integrity of logical chains, enabling it to handle more challenging mathematical or logical problems.

  • Agent (intelligent agent) capabilities: enhanced the response speed and accuracy of the model as an autonomous task-executing agent.

  • Code generation: optimized the programming assistance experience, allowing it to more accurately understand and generate high-quality code.

Accelerating the localization of computing power

Against the backdrop of global computing resource shortages, this deep compatibility between Hygon Information and Tencent Huyuan not only verifies the practical value of domestic DCU hardware in training and inference of large language models, but also provides an important reference for Chinese enterprises to build an independent and controllable AI technology stack.

As the software and hardware ecosystem continues to improve, this combination of "domestic computing power + top domestic algorithms" will further accelerate the application of AI technology across various industries, providing a more stable foundation for the digital economy.