蘋果首席執行官稱讚NVIDIA DeepSeek在NIM平台上推出了DeepSeek R1

DeepSeek繼續成為頭條新聞，甚至蘋果公司的首席執行官也不禁為中國人工智能（AI）平台鼓掌。

Chinese artificial intelligence (AI) platform DeepSeek continues to dominate headlines, with even Apple’s CEO praising the platform. Meanwhile, NVIDIA has announced the launch of DeepSeek R1 on its NIM platform.

中國人工智能（AI）平台DeepSeek繼續主導頭條新聞，甚至蘋果公司的首席執行官都讚揚了平台。同時，NVIDIA宣佈在其NIM平台上推出DeepSeek R1。

During Apple’s earnings call, DeepSeek’s performance was brought up in the context of future iPhone models and their potential for form innovation. When asked about his views on the matter, Cook said, “I think there is still a lot in the future. The innovation of the iPhone is far from over, and there is still a lot of innovation space for smartphones. I am extremely optimistic about our product line.”

在Apple的收益電話中，DeepSeek的表現是在未來iPhone型號及其形式創新潛力的背景下提高的。當被問及他對此事的看法時，庫克說：“我認為將來還有很多。 iPhone的創新還遠遠沒有結束，智能手機仍然有很多創新空間。我對我們的產品線非常樂觀。”

Cook also highlighted DeepSeek’s AI model as an example of “innovation that drives efficiency”. He further stated, “Overall, I think innovation that drives efficiency is a good thing.”

庫克還強調了DeepSeek的AI模型，以“推動效率的創新”為例。他進一步說：“總的來說，我認為推動效率的創新是一件好事。”

Cook’s comments on iPhone innovation suggest the firm’s optimism towards AI, especially considering how DeepSeek’s reported ‘cost-effectiveness’ has put a spotlight on Silicon Valley’s ‘expensive AI efforts’.

庫克對iPhone創新的評論表明，該公司對AI的樂觀態度，尤其是考慮到DeepSeek報告的“成本效益”如何使矽谷的“昂貴的AI努力”引起了人們的關注。

On another note, NVIDIA, the ‘monopolistic computer chip maker’, faced a setback after it was revealed that DeepSeek utilized ‘highly cost-effective’ chips. However, in a surprising turn of events, NVIDIA has joined forces with the AI. The company has announced the launch of DeepSeeK R1 671b, which is now available as an NVIDIA NIM Microservice Preview on build.nvidia.com.

另一方面，“壟斷計算機芯片製造商” Nvidia在被發現DeepSeek使用“高成本有效”芯片後面臨挫折。但是，在令人驚訝的事件中，Nvidia與AI聯手。該公司已宣布啟動DeepSeek R1 671B，該公司現在可以在build.nvidia.com上作為NVIDIA NIM Microservice預覽。

According to the official blog, the DeepSeeK R1 NIM Microservice can handle up to 3,872 tokens per second on a single NVIDIA HGX H200 system. Developers can now test and experiment with the API, which is set to be released soon as part of the NVIDIA AI Enterprise software platform in downloadable NIM Microservice form.

根據官方博客，DeepSeek R1 NIM微服務可以在單個NVIDIA HGX H200系統上每秒處理高達3,872個令牌。開發人員現在可以測試和實驗API，該API即將在可下載的NIM微服務表單中作為NVIDIA AI Enterprise軟件平台的一部分發布。