What is undisputed is that DeepSeek introduced several engineering innovations that Silicon Valley could adopt to lower their own pre-training costs. This bodes well for enterprises, since it could lower artificial intelligence AI inferencing costs and make businesses more willing to deploy AI broadly.Meta and Microsoft CEOs Respond to DeepSeekMeta CEO Mark Zuckerberg said his company would be looking at the innovations from DeepSeek and perhaps apply them to its own AI training, during its fiscal third-quarter earnings call with analysts this week.
But Zuckerberg stood pat on his plans to spend billion to billion vietnam mobile database on AI infrastructure. While DeepSeek does offer a lower-cost path to AI training, he said two factors convinced him not to pull back on spending.One is the trend toward inferencing as carrying the bulk of AI costs, Zuckerberg said. As AI models add reasoning skills, inferencing costs will be more consequential.
Inferencing is when a pre-trained foundation model is given new data to understand and analyze, such as when a user inputs a prompt and gets a response.Second, Zuckerberg said as Meta embeds its AI assistant, Meta AI, more fully into its social media sites and chat apps, they will have more AI workloads to process from its billions of users.
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