Observed Signal · Aug 14, 2025 · Product Delay · Source: Trending Topics · Impact: 3/5 · Sentiment: Neutral
DeepSeek R2 Model Delayed by Huawei Chip Problems
Chinese AI company DeepSeek is delaying the launch of its R2 model, originally planned for May, due to persistent technical problems training the model on Huawei's Ascend chips. Chinese authorities encouraged DeepSeek to use Huawei processors instead of Nvidia systems after its R1 release. Despite assistance from Huawei engineers, DeepSeek failed to achieve a successful training run on the Ascend chip. The company will now use Nvidia chips for training and Huawei hardware for inference. This setback illustrates the limitations of China's domestic chips compared to US rivals, complicating Beijing's push for technological independence. DeepSeek faces a competitive disadvantage against Alibaba's Qwen3 model. Nvidia remains a key player, having recently agreed to share some China revenue with the US government to resume H20 chip sales.
DeepSeek's R2 delay highlights China's chip limitations, potentially affecting the supply of competitive AI models used in advertising and tech infrastructure.
Track DeepSeek Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- DeepSeek delayed its R2 model launch due to training difficulties with Huawei Ascend chips.
- Chinese authorities encouraged DeepSeek to use Huawei's Ascend processors instead of Nvidia systems.
- DeepSeek failed to run a successful training on Ascend despite support from Huawei engineers.
- DeepSeek will use Nvidia chips for training and Huawei hardware for inference.
- The delay creates a competitive disadvantage for DeepSeek against Alibaba's Qwen3 model.
Connected Companies & Entities
4 Entities mapped“The Chinese AI company DeepSeek is delaying the release of its new model after failing to train it with Huawei chips....”
“Huawei's Ascend processors instead of Nvidia's systems, and Huawei engineers were sent to DeepSeek's office....”
“Nvidia chips for training and Huawei hardware for inference, and Nvidia recently agreed to give the US government a share of its China reven...”
“DeepSeek faces a competitive disadvantage against rivals like Alibaba with its Qwen3 model....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
TSMC Q3 Revenue Up 51% to Record, Stock Falls
TSMC reported a 51% increase in third-quarter revenue to 1.49 trillion Taiwan dollars (EUR 41.7 billion), surpassing expectations. The semiconductor giant, a key supplier to Apple and Nvidia, continues to benefit from the AI boom and strong chip demand. However, the stock declined despite the record results. The company plans to invest EUR 52-56 billion in expanding its manufacturing facilities this year, including a joint venture with Sony for image sensors. TSMC's market capitalization is approximately USD 2.45 trillion, making it the most valuable company outside the US. The company's growth is also boosting Taiwan's economy, with exports rising over 70% in August and GDP expected to grow 11% in 2026.
Ecosia Drops Mistral for Chinese Open-Source AI
European search engine Ecosia has switched its AI supplier from French startup Mistral to open models, including Chinese ones like Alibaba's Qwen, Z.ai's GLM, and Moonshot AI's Kimi. CEO Christian Kroll cited disappointment with Mistral's model quality, which he says lags about a year behind competitors, and frequent server overloads. Ecosia now uses models via German platform Melious, which runs open AI models on EU servers, halving AI service costs while improving performance. The switch comes as Mistral released Large 4, its most powerful model yet, trained in Europe with open weights due in October. Despite scoring 38.4 on the Intelligence Index, it ranks eighth among open models, behind seven Chinese models. The case highlights the European AI sovereignty dilemma: top-tier open models are predominantly Chinese, even when run on European servers. Mistral itself hosts Chinese models like GLM on its neocloud platform, while its CEO Arthur Mensch defends Large 4's capabilities in areas like cyber defense.
Ecosia Switches from Mistral to Chinese AI Models
Berlin-based search engine Ecosia has dropped French AI provider Mistral and switched to open-weight models, including Chinese ones like Qwen (Alibaba), GLM (Z.ai), and Kimi (Moonshot AI), as reported by Politico. Ecosia CEO Christian Kroll was reportedly disappointed with Mistral's model quality, saying they lag behind competitors by about a year, and also questioned Mistral's sovereignty due to its reliance on international investors. Ecosia now sources models via Melious, a German platform running open AI models on European servers, cutting AI costs by half while improving performance. Mistral, meanwhile, released Large 4, a trillion-parameter model trained in European data centers, which ranks eighth among open models, with all top seven being Chinese. This highlights Europe's AI sovereignty dilemma: top open models are mostly Chinese, even as Mistral itself now hosts Chinese models like GLM on its neocloud.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.
