NVIDIA’s Latest: GeForce RTX 50 Utilizes DeepSeek Accelerated Inference Model for Local PC Computing
The US-China AI war continues to burn, as Trump chooses OpenAI as a strategic partner, DeepSeek suddenly rises and deploys globally. The core competitive advantage of DeepSeek, the “reasoning model,” is still powered by Nvidia’s GPU horsepower, quickly debunking the news that Nvidia GPUs are on the verge of being replaced.
Nvidia’s official blog reveals that the DeepSeek-R1 model allows development teams to run complex and obscure mathematics and code while maintaining customer privacy. Nvidia’s GeForce RTX 50 series GPU accelerates the DeepSeek reasoning model with a horsepower of 3.352 trillion calculations per second.
The new type of reasoning model enables AI to think and provide feedback.
Reasoning models are a new type of large-scale language model, where AI spends time “thinking” like humans and provides “feedback” on errors. That’s why it’s 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, allowing AI to provide feedback on the thinking process of the model, further enhancing the user experience. It can unlock AI agent workflows and solve complex multi-step tasks, such as market analysis, complex mathematical problems, or code.
DeepSeek’s reasoning model can run quickly on Nvidia’s RTX AI PC locally.
The DeepSeek-R1 series simplified model is based on a large expert mixture (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 making whiskey, which evaporates most of the alcohol through distillation to leave behind the essence. In the large DeepSeek 6.71 billion parameter model, it can distill six smaller student models with parameter ranges from 1.5 billion to 70 billion. The large DeepSeek-R1 6.71 billion parameter model “teaches” the reasoning ability 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.
Nvidia’s GeForce RTX 50 GPU is built on the fifth generation Tensor Core and the same Blackwell GPU architecture. It accelerates the DeepSeek reasoning model to provide the highest inference efficiency on AI PCs.
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 equipped with GeForce RTX 50 series GPUs) can utilize the functionality of DeepSeek-R1.
Killer GPU can be used without internet connection.
RTX GPUs can run in low-latency environments even without an internet connection and can protect customer privacy, as users do not need to upload sensitive personal information and search records to AI service systems.
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