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Sources indicate that Huawei is set to begin shipping its Ascend 910C AI GPU to Chinese customers in May 2025. This new GPU, which combines two Ascend 910B processors, is designed to offer performance comparable to NVIDIA's H100 for AI tasks.
Shenzhen, China – Huawei is reportedly set to begin mass shipments of its Ascend 910C AI GPU as early as May 2025, according to industry insiders. The new chip marks a significant advancement in China’s domestic semiconductor capabilities, particularly as the country faces continued restrictions on access to U.S.-made AI hardware.
The 910C combines two Ascend 910B processors, effectively doubling:
Computational throughput
Memory bandwidth
Parallel processing capability
This unified design aims to deliver performance on par with NVIDIA’s H100, a current industry leader in high-performance AI accelerators.
Huawei has reportedly made architectural enhancements to optimize the Ascend 910C for a wide range of workloads:
Training large language models (LLMs)
Complex multimodal inference tasks
Computer vision and natural language processing at scale
AI research and enterprise model deployment
The chip also leverages Huawei’s MindSpore AI framework and is tightly integrated with its Ascend AI software stack, supporting both distributed training and high-efficiency inference.
The launch of the 910C is seen as a strategic milestone in China’s bid for AI hardware sovereignty. With U.S. export restrictions blocking access to top-tier NVIDIA chips like the A100 and H100, Chinese firms have been aggressively investing in domestic alternatives to sustain AI R&D momentum.
By enabling on-premise model training and inference at scale, Huawei’s 910C could become a cornerstone of China’s efforts to localize AI infrastructure across academia, industry, and government sectors.
With this move, Huawei isn’t just catching up—it’s positioning itself as a parallel player in the global AI hardware race. If the 910C lives up to performance expectations, it could see wide adoption among Chinese tech giants and research institutions.
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