Android Launch: HONOR YOYO Integrates DeepSeek-V4 Large Model First

The AI arms race in the smartphone industry has intensified again. Honor officially announced that its intelligent assistant YOYO has been integrated with DeepSeek-V4, becoming the first intelligent agent in the Android ecosystem to adopt this cutting-edge AI technology. This move not only marks a deepening of the collaboration between the two parties but also signifies that the mobile AI experience has entered a more advanced stage.

According to the information, this upgrade covers three core dimensions: performance, contextual understanding, and reasoning efficiency. After integrating DeepSeek-V4, the YOYO intelligent agent will demonstrate stronger logic when handling complex instructions and long-text conversations. Through optimization of the underlying algorithms, the device's response speed and task processing accuracy have significantly improved, allowing it to handle diverse user interaction scenarios more confidently.

In terms of specific experience requirements, Honor provided clear guidance. Users need to ensure that the version number of YOYO is 90.10.28.041 or higher, and the system environment should be MagicOS 8.0 or higher. Devices that meet the conditions can apply for early access to experience the interaction changes brought by the new generation of large models.

Tencent Cloud TokenHub Launches Preview Version of DeepSeek-V4 with Full Support for Million-Level Context

Tencent Cloud has launched the DeepSeek-V4 preview version API on the TokenHub platform, supporting a million-level context length and significantly enhancing natural language processing capabilities. The pricing is consistent with DeepSeek's official pricing, offering a high-cost-performance service, and is also available on the Singapore node of the international site, covering global users.

Cambricon Announces Full Series Model Day0 Compatibility and Open-Sourcing of Optimized Code for DeepSeek-V4

Cambricon announced the completion of Day0 compatibility for the entire series of DeepSeek-V4 models. Based on the vLLM inference framework, it covers the 285B parameter Flash version and the 1.6T parameter Pro version. By optimizing sparse attention and compressed structures with its self-developed Torch-MLU-Ops operator library, the model can run stably on Cambricon hardware on the day of release. The related code has been open-sourced to GitHub.

Cambrian Successfully Compatible with DeepSeek-V4 Promotes Efficient AI Model Operation

Cambricon announced successful Day 0 adaptation of DeepSeek-V4, an open-source AI model by DeepSeek, achieving stable operation on launch day. Using its self-developed fusion operator library Torch-MLU-Ops, it accelerated modules like Compressor and mHC, significantly boosting inference efficiency. The vLLM inference framework was also adopted for a more efficient AI experience.....

DeepSeek-V4 Released! Performance Approaching Top Closed-Source Models, Million-Context, Starting at 1 Yuan

DeepSeek launched the next-generation model DeepSeek-V4 on April 24, achieving performance comparable to top-tier closed-source models, marking a milestone in open-source AI. It supports a 1-million-token ultra-long context, suitable for long-document analysis, code generation, and multi-turn tasks. Lightweight Flash and standard versions were also released for rapid iteration and deep application needs.....

DeepSeek-V4 Preview Version Officially Released: 1M Long Context Enters the Era of Universal Access

DeepSeek launches DeepSeek-V4 preview series as open-source, achieving million-character ultra-long context and leading domestic Agent collaboration and knowledge reasoning. Offers Pro (1.6T parameters, 49B activated) and Flash versions; Pro matches top closed-source models, Flash balances efficiency.....