# On the Shifting Global Compute Landscape

DevFeed: [On the Shifting Global Compute Landscape](<https://devfeed.tech/articles/on-the-shifting-global-compute-landscape-7253.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/huggingface/shifting-compute-landscape>)

Author: Tiezhen WANG; Irene Solaiman

Published: 2025-10-29T13:56:45Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [huawei](<https://devfeed.tech/topics/huawei.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [deepseek](<https://devfeed.tech/topics/deepseek.md>), [grpo](<https://devfeed.tech/topics/grpo.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [china](<https://devfeed.tech/tags/china.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [culture](<https://devfeed.tech/tags/culture.md>), [deepseek](<https://devfeed.tech/tags/deepseek.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [developers](<https://devfeed.tech/tags/developers.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [grpo](<https://devfeed.tech/tags/grpo.md>), [huawei](<https://devfeed.tech/tags/huawei.md>), [inference](<https://devfeed.tech/tags/inference.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [production](<https://devfeed.tech/tags/production.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

The article examines how China's progress in open-weight AI models is coinciding with rapid domestic AI chip development. It discusses Huawei Ascend and Cambricon chips, reduced reliance on NVIDIA, compute-efficiency innovations such as DeepSeek's MLA and GRPO, and the emergence of software alternatives to CUDA.

## Source excerpt

The status quo of AI chip usage, that was once almost entirely U.S.-based, is changing. China's immense progress in open-weight AI development is now being met with rapid domestic AI chip development. In the past few months, highly performant open-weight AI models' inference in China has started to be powered by chips such as Huawei's Ascend and Cambricon, with some models starting to be trained using domestic chips.