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DeepSeek, Huawei and NVIDIA

DeepSeek R2 model delayed after Nvidia hardware was replaced with Huawei chips

DeepSeek's R1 model shook the AI industry when it arrived in January over claims it was trained on 2,048 Nvidia H800s and at a cost of

DeepSeek’s AI Model Launch Delayed Due to Chip Struggles, Forcing Switch to NVIDIA

DeepSeek delayed its R2 AI model due to Huawei chip challenges, switching back to NVIDIA for training. The setback highlights China's struggle to replace US tech in AI development.

Ars Technica · 2d

Upcoming DeepSeek AI model failed to train using Huawei’s chips

Huawei sent a team of engineers to DeepSeek’s office to help the company use its AI chip to develop the R2 model, according to two people. Yet despite having the team on site, DeepSeek could not conduct a successful training run on the Ascend chip, said the people.

1don MSN

DeepSeek's Latest AI Model Delayed After Huawei Chips Fail Amid China's Push To Reduce Reliance On US Companies Like Nvidia: Report

DeepSeek delayed the launch of its R2 model after Huawei chips failed in training, forcing reliance on Nvidia processors and ...

DeepSeek's R2 stalls as Huawei Ascend chips fall short of Nvidia H100's capabilities

In the 2025 AI arms race, China's DeepSeek has become both a showcase of ambition and a cautionary tale on domestic chip ...

3don MSN

DeepSeek-R2 may launch late August as China pushes for AI independence

DeepSeek-R2 is expected to launch this month with Huawei Ascend training, 1.2T parameters, and MoE architecture, aiming to ...

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