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Praise from Nvidia and OpenAI to Deepseek
Openai CEO’SU Altmanin a statement now More information processing power While saying that they need it and the next new generation of models will be surprising, “Deepseek’s R1 model, especially in terms of what they offer according to the price quite impressive. Of course we will offer much better models and it is really motivating to have a new opponent on the field! We will make some announcements soon. “ He said.
Nvidia Spokesman in his statement“Deepseek is an excellent example of a perfect artificial intelligence progress and test time scaling. The work of Deepseek shows how new models can be created using this technique, and how to utilize from widely used models and information processing technologies suitable for export control ” he said.
The R1, which was released last week, attracts attention with its low cost. According to Deepseek’s statements, the training cost of the model remained below $ 6 million. This figure is quite modest compared to the artificial intelligence models developed by the giants in the Silicon Valley by spending billions of dollars.
The R1 model also draws attention with the fact that US -based companies, such as OpenAI, leave behind or match the best models in terms of performance. Nvidia sees this development as a positive development as it will increase the demand for graphic processing units (GPU). Spokesman, “Inference processes require a significant amount of Nvidia GPU and high -performance network infrastructure. We now have three scaling rules: Before the ongoing training, post -training and new test time scaling. ”
Test Time Scale or Test Time Scaling (TTS) is an approach to improve scalability or performance in artificial intelligence and machine learning models, in the inference stage of a model, that is to say on new data. We see this approach in “Thinking” models such as OpenAI O1, O3 and Deepseek R1.
Huge investments are questioned
Deepseek’s high performance at low cost makes the investments of large technology companies. Microsoft announced that it plans to spend 80 billion dollars for its artificial intelligence infrastructure in 2025, while Meta CEO Mark Zuckerberg announced that they have allocated a budget of 60 to 65 billion dollars for the same year.
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