SiliconCloud officially announced that Trae, ByteDance's first AI-native Integrated Development Environment (IDE), has integrated with the SiliconCloud platform to provide developers with a more efficient programming experience. Trae now integrates multiple SiliconCloud models; users can access various coding models such as DeepSeek-R1, V3, QWQ-32B, and Qwen2.5-Coder simply by using an API key. This flexible selection caters to diverse development needs.

Silicon-Based Flow's official WeChat account announced that, effective immediately, the DeepSeek-R1 & V3 APIs on the SiliconCloud platform now support batch inference (BatchInference). Users can send requests to SiliconCloud via the batch API, unaffected by real-time inference rate limits, with task completion expected within 24 hours. Compared to real-time inference, DeepSeek-V3 batch inference pricing is reduced by 50%. From March 11th to March 18th, DeepSeek-R1 will enjoy a 75% price reduction.

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

Recently, realme UI product manager Kang Da Leo announced a significant update: the Xiaobu Assistant in realme UI 6.0 has officially integrated the full version of DeepSeek-R1. This update covers six realme models, including the realme GT7 Pro, realme GT7 Pro Racing Edition, realme Neo7, realme Neo7 SE, realme GT5 Pro, and realme GT6, bringing a more intelligent and efficient user experience to numerous realme phone users.

On March 10th, Chengpian, an application under Baidu Wenku, officially integrated the full version of DeepSeek-R1, providing users with more efficient and powerful AI assistance. Based on Baidu Wenku's massive content accumulation and AI capabilities, Chengpian, after this upgrade, can better meet users' diverse needs in learning, life, and creation.

Alibaba has open-sourced a new inference large language model, QwQ-32B. Benchmarks show performance comparable to DeepSeek-R1, but with significantly reduced VRAM requirements.

Samsung recently announced that the Galaxy S25 series launched in the Chinese market will now integrate the DeepSeek-R1 large language model, significantly enhancing its AI functionality. According to Samsung China, users can access features including in-depth reasoning, internet search, emotional intelligence, contextual memory, and visual analysis without downloading additional apps or registering accounts. Simply update the Samsung Members app to the latest version or access DeepSeek-R1 through Samsung's Smart Home or Bixby's SmartThings.

CITIC Special Steel has taken a significant step in its digital transformation journey, recently announcing on an investor relations platform its successful integration of the DeepSeek-R1 large model. The company stated its commitment to fostering the deep integration of digital technologies with the real economy, using this as a foundation for comprehensive reform to accelerate the building of data assets and unlock the potential value of data. CITIC Special Steel's efforts in promoting intelligent operation and maintenance are a strategic move in the face of intense market competition. Through the integration of the DeepSeek-R1 large model, the company's...

According to the latest rankings released by the Hugging Face open-source community, Alibaba's Wanxiang large model, after only 6 days of open-sourcing, has surpassed DeepSeek-R1 to claim the top spot on both the trending models and model hub leaderboards. This achievement not only highlights Wanxiang's superior technical performance but also reflects its widespread recognition and influence within the global open-source community.

On February 28th, Baidu Netdisk and Baidu Wenku announced the full launch of DeepSeek-R1 full version. This innovative initiative marks the industry's first achievement of a one-stop "deep thinking + deep delivery" capability.

Professional social networking platform, Pulse, recently announced the successful integration of the DeepSeek-R1 model. This move aims to further optimize candidate-job matching efficiency and comprehensively elevate the intelligence level of the recruitment process. Reportedly, Pulse began deploying the model in early February of this year and has completed relevant testing. Currently, AI technology deeply empowers Pulse's overall recruitment workflow, achieving significant efficiency improvements in several key areas, including job signal capture, application filtering, automatic follow-up questions, and intelligent greetings. In the talent assessment phase, the system can dynamically track user behavior and analyze it.

DeepSeek announced a significant price adjustment for API calls during a promotional period. DeepSeek-V3 will be discounted to 50% of its original price, while DeepSeek-R1 will be reduced to a remarkable 25%. This initiative aims to encourage users to leverage platform resources during off-peak hours, enjoying more cost-effective and seamless service.

Today, ColorOS officially announced a major update: the integration of the full-blooded DeepSeek-R1 inference model. This update covers 40 OPPO/OnePlus models, including the OPPO Find N5, allowing users to experience the charm of this advanced technology firsthand.

Regarding rumors of the premature release of the new DeepSeek AI model R2, a Huafu Quant representative responded that all information should be based on official announcements. It is understood that Huafu Quant established DeepSeek AI in July 2023, and successfully launched the DeepSeek-R1 model this past January.

The 360Zhiniao team, in collaboration with Peking University, officially released the medium-sized inference model Tiny-R1-32B-Preview. This model, with only 5% of the parameters, successfully approaches the full performance of Deepseek-R1-671B, demonstrating the enormous potential of small models in efficient inference. The model's performance is particularly outstanding in several key areas. In mathematics, Tiny-R1-32B-Preview...

Baidu announced a significant upgrade to its education and search services. According to recent X platform posts, Baidu Education's 'Photo Search Questions' and 'AI Essay Writing' features have been integrated with the full-fledged DeepSeek-R1 model, providing users with standard answers and detailed solution demonstrations. Simultaneously, Baidu Search has fully integrated DeepSeek and Wenxin large language models, significantly improving the search experience. Since launching the relevant access points on the Baidu homepage, over 10 million users utilized the services within just one hour, sparking widespread attention. X user @TechBitD

Baidu Education's integration of the DeepSeek-R1 model aims to enhance the intelligence of its learning tools through deep learning technology. In the photo search for questions feature, DeepSeek-R1 not only provides standard answers but also leverages its powerful reasoning capabilities to demonstrate the problem-solving process step-by-step, helping users truly grasp problem-solving methods. This upgrade addresses learners' need for answers while focusing on cultivating their problem-solving thinking, embodying the educational philosophy of "teaching people to fish, not just giving them fish."