The fierce AI battle between the US and China continues to rage on. When Trump chose OpenAI as a strategic partner, DeepSeek suddenly emerged as a strong competitor, relying on the powerful GPU horsepower of Nvidia to complete its core competitive “reasoning model.” This swiftly debunked all the news claiming that Nvidia GPUs were being replaced.
The Nvidia official blog reveals that the DeepSeek-R1 model allows development teams to run complex and cryptic mathematics and code while preserving customer privacy. The Nvidia GeForce RTX 50 series GPU provides the horsepower to run the DeepSeek reasoning model at a speed of 3,352 teraflops.
The new type of reasoning model enables AI to think and provide feedback.
Reasoning models are a new type of large-scale language model, and AI “thinks” and provides “feedback” on errors just like humans. Therefore, it is named “reasoning.” Similar to how humans solve problems, AI solves problems through more thinking, understanding, and feedback. The reasoning model can understand the deep needs of users and allows AI to provide feedback on the thinking process of the model, further enhancing user experience. It can unlock AI agent workflows to solve complex multi-step tasks, such as market analysis research, complex mathematical problems, or code, etc.
DeepSeek reasoning models can run quickly on Nvidia’s RTX AI PC locally.
The DeepSeek-R1 series slim model is based on a large-scale expert mixed (MoE) model with 671 billion parameters. The MoE model consists of multiple smaller expert models used to solve complex problems. The DeepSeek model further distributes the work and assigns subtasks to smaller expert groups.
DeepSeek adopts a technique called Distillation, similar to the production of whiskey, which evaporates most of the alcohol through distillation to leave behind the essence. In the large DeepSeek model with 6.71 billion parameters, it can distill six smaller student models with parameters ranging from 1.5 to 70 billion. The large DeepSeek-R1 6.71 billion parameter model “teaches” the reasoning capability to the smaller Llama and Qwen student models, resulting in powerful but smaller reasoning models that can run quickly on Nvidia’s RTX AI PC.
RTX equipped with DeepSeek-R1 reasoning model
The Nvidia GeForce RTX 50 GPU is built with the fifth-generation Tensor Core based on the same Blackwell GPU architecture. It accelerates the DeepSeek reasoning model and provides the highest inference efficiency on AI PC.
Nvidia’s RTX AI platform offers a wide range of AI tools, software development kits, and model choices. Currently, over 100 million Nvidia RTX AI PCs (including PCs with GeForce RTX 50 series GPU) can utilize the functionality of DeepSeek-R1.
Killer GPUs can be used without internet connection
RTX GPUs can run in low-latency environments, even without an internet connection, and can protect customer privacy because users do not need to upload sensitive personal information and search records to the AI service system.
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