While Nvidia’s GPUs have traditionally powered large AI workloads, SambaNova argues that its reconfigurable dataflow ...

Deepseek’s models rely on a process called distillation (i.e.) using foundational models like Llama a to train a smaller more light-weight model.

The integration of DeepSeek aligns with Aurora Mobile’s mission to empower developers with intelligent tools that enhance user engagement and operational efficiency. By combining JPush’s robust push ...

By focusing on scalable, efficient, and user-centric solutions, Aurora Mobile continues to lead the app monetization and developer services space. The integration of DeepSeek underscores the company’s ...

DeepSeek's innovative techniques, cost-efficient solutions and optimization strategies have forced established players to ...

The availability of the DeepSeek-R1 large language model shows it’s possible to deploy AI on modest hardware. But that’s only half the story.

DeepSeek claimed the R1 model – their new Large Language Model – could be trained for a fraction of the cost of competitor’s models without compromising performance ...

Chinese AI firm DeepSeek has emerged as a potential challenger to U.S. AI companies, demonstrating breakthrough models that ...

So, in essence, DeepSeek's LLM models learn in a way that's similar to human learning, by receiving feedback based on their actions. They also utilize a MoE (Mixture-of-Experts) architecture ...

By employing advanced techniques such as FP8 precision, modular architecture, and proprietary communication optimizations like DualPipe, DeepSeek has purportedly streamlined AI training to a level ...