The US-China AI war continues to rage. When Trump chose OpenAI as a strategic partner, DeepSeek suddenly emerged as a global player, with its core competitiveness "reasoning model" still accelerated by NVIDIA's GPU power, quickly refuting all the news that NVIDIA GPUs are being replaced.
NVIDIA's official blog reveals that the DeepSeek-R1 model allows development teams to run complex mathematical and code on the premise of preserving customer privacy. NVIDIA GeForce RTX 50 series GPUs accelerate the operation of DeepSeek's inference model at a rate of 3,352 TFLOPS.
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ToggleNew reasoning models allow AI to think and provide feedback
Reasoning Models are a new type of large language model, where AI will "think" and provide "feedback" on errors, just like humans. Like how humans solve problems, AI solves problems through more thinking, understanding, and feedback. Reasoning models can understand the user's deep needs and allow AI to provide feedback on the thought process, further enhancing the user experience, and can unlock AI agent workflows to solve complex multi-step tasks such as market analysis research, complex math problems, or coding.
DeepSeek reasoning model can run quickly on NVIDIA's RTX AI PC locally
The DeepSeek-R1 series compact models are based on a large expert mixed (MoE) model with 671 billion parameters. The MoE model consists of multiple smaller Expert Models to solve complex problems. DeepSeek further distributes the work and assigns sub-tasks to smaller groups of experts.
DeepSeek uses a technique called Distillation, like making whiskey, to evaporate most of the alcohol and leave the essence. From the 671 billion parameter DeepSeek model, six smaller student models ranging from 1.5 billion to 70 billion parameters can be distilled, with the large DeepSeek-R1 671 billion parameter model "teaching" the reasoning capabilities to the smaller Llama and Qwen student models, creating powerful yet smaller reasoning models that can run quickly on NVIDIA RTX AI PCs locally.
RTX loaded with DeepSeek-R1 reasoning model
NVIDIA GeForce RTX 50 GPUs are built with 5th gen Tensor Cores, based on the same Blackwell GPU architecture. Accelerating the DeepSeek reasoning model, they can provide the highest inference efficiency on AI PCs.
NVIDIA's RTX AI platform provides 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 GPUs) can use the capabilities of DeepSeek-R1.
Killer GPU can be used without internet connection
RTX GPUs can run in low-latency environments without an internet connection, and can protect customer privacy, as users don't need to upload sensitive personal information and search history to AI service systems.
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