苹果首席执行官称赞NVIDIA DeepSeek在NIM平台上推出了DeepSeek R1

DeepSeek继续成为头条新闻，甚至苹果公司的首席执行官也不禁为中国人工智能（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.

中国人工智能（AI）平台DeepSeek继续主导头条新闻，甚至苹果公司的首席执行官都赞扬了平台。同时，NVIDIA宣布在其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的收益电话中，DeepSeek的表现是在未来iPhone型号及其形式创新潜力的背景下提高的。当被问及他对此事的看法时，库克说：“我认为将来还有很多。 iPhone的创新还远远没有结束，智能手机仍然有很多创新空间。我对我们的产品线非常乐观。”

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.”

库克还强调了DeepSeek的AI模型，以“推动效率的创新”为例。他进一步说：“总的来说，我认为推动效率的创新是一件好事。”

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’.

库克对iPhone创新的评论表明，该公司对AI的乐观态度，尤其是考虑到DeepSeek报告的“成本效益”如何使硅谷的“昂贵的AI努力”引起了人们的关注。

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，“垄断计算机芯片制造商” Nvidia在被发现DeepSeek使用“高成本有效”芯片后面临挫折。但是，在令人惊讶的事件中，Nvidia与AI联手。该公司已宣布启动DeepSeek R1 671B，该公司现在可以在build.nvidia.com上作为NVIDIA NIM Microservice预览。

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.

根据官方博客，DeepSeek R1 NIM微服务可以在单个NVIDIA HGX H200系统上每秒处理高达3,872个令牌。开发人员现在可以测试和实验API，该API即将在可下载的NIM微服务表单中作为NVIDIA AI Enterprise软件平台的一部分发布。