This week, OpenAI and Google launched new generative AI tools that quickly attracted significant user attention, stressing their data centers. In response to overwhelming demand for its image generation features, OpenAI's CEO announced temporary GPU use restrictions, implementing rate limits until efficiency improves. Similarly, Google is working to manage high demand for its Gemini 2.5 AI model. Experts emphasize the importance of reliable computing resources to support the increasing demand for AI capabilities, particularly in image and video generation, which may strain existing infrastructures.
Both OpenAI and Google have faced overwhelming demand for their new generative AI tools, leading to temporary restrictions on GPU usage and a call for improved computing capacity.
OpenAI has implemented rate limits on its ChatGPT image generation service in response to GPU overload, a situation that highlights the ongoing challenges of scaling AI infrastructure.
Google's Gemini 2.5 AI model is experiencing high demand, prompting the company to swiftly enhance rate limits for developers, underscoring the competitive nature of AI advancements.
Analysts warn that the increasing reliance on AI for images, videos, and other capabilities requires organizations to secure sufficient computing resources to avoid potential downtimes.
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