Home ยป Exploring the Breakthrough of Test-Time Scaling with NVIDIA’s DeepSeek R1: Unveiling the Need for Powerful GPUs in Pre and Post Tasks

Exploring the Breakthrough of Test-Time Scaling with NVIDIA’s DeepSeek R1: Unveiling the Need for Powerful GPUs in Pre and Post Tasks

NVIDIA has clarified to the media following a sharp 17% decrease in stock prices amid concerns that DeepSeek has introduced AI development technology that does not rely on high-performance hardware, potentially reaching the peak of GPU demand.

The DeepSeek technology allows us to create new models using various techniques, building upon existing open-source models with well-controlled processing, marking a significant advancement in Test-Time Scaling according to the Three Scaling Laws previously explained by CEO Jensen Huang.

NVIDIA states that the demand for GPUs remains in Pre-Training Scaling and Post-Training Scaling, especially for Inference tasks that require extensive processing power.
Source: CNBC

TLDR: NVIDIA addresses media concerns about stock price drop due to innovative AI technology, emphasizing the ongoing demand for GPUs in various scaling scenarios.

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