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Former Intel CEO Pat Gelsinger recently criticized Nvidia's pricing strategy for its AI GPUs on the Acquired podcast during Nvidia's 2025 GPU Technology Conference, arguing that the high cost makes them unsuitable for large-scale AI inference tasks. Gelsinger highlighted that inference is crucial for deploying AI models and that the industry should focus more on inference, a domain where Nvidia's technology falls short in terms of cost-effectiveness. Image source omitted.

Social media giant Meta is facing unprecedented AI infrastructure costs, with projected AI-related spending soaring to a staggering $65 billion, potentially contributing to a total annual expenditure of $119 billion! Faced with this astronomical bill, the tech giant has decided to develop its own AI chips, and has already made significant progress. Recent reports indicate that Meta is about to begin a small-scale deployment of its custom chips, signaling a gradual move away from Nvidia and its reliance on their GPUs.

Recently, Musk officially launched the brand new chatbot Grok 3 in a live stream and disclosed the astonishing cost of training the model. Grok 3 is currently available to Premium + subscribers and has shown outstanding performance in various evaluation areas, even surpassing other competitors in the market, such as Gemini, DeepSeek, and ChatGPT. During the live stream, Musk mentioned that the training process for Grok 3 consumed a total of 200,000 NVIDIA GPUs, a figure that is truly shocking.

Google Cloud has collaborated with Y Combinator to offer AI startups $350,000 worth of cloud computing resources, including dedicated GPU/TPU clusters, for a period of two years. This initiative aims to foster AI innovation by prioritizing access to computing resources and facilitating one-on-one discussions with AI experts, helping startups tackle technical challenges and promote their growth. The partnership seeks to nurture future tech giants, with Google aiming to establish long-term relationships through early support. This collaboration not only addresses the computing resource needs of startups.

Son Masayoshi, the founder of SoftBank, plans to invest $10 billion globally in the AI and chip sectors.As reported by The Information, SoftBank is currently in talks with banks to invest $10 billion in AI energy projects and intends to acquire a large number of NVIDIA GPUs. Son Masayoshi positions SoftBank as a leader in the global AI race, focusing on the construction of critical infrastructure.Image Source Note: The image is generated by AI, and the image authorization service provider is Mid

Insiders reveal that Japan's technology investment giant, SoftBank Group, is seeking financing for a massive $10 billion AI-related investment plan. This significant investment is primarily focused on the energy sector and reflects the profound impact of the current AI boom on traditional industries.After a near silence of nearly a year, SoftBank CEO Masayoshi Son has recently re-emerged in the public eye. He has expressed great enthusiasm for the future development of AI and outlined his ambiti

Social media giant Meta plans to deploy a custom second-generation AI chip, codenamed Artemis, in its data centers this year. The new chip will be used for running AI model 'inference' and aims to reduce dependency on chips and control the costs of AI workloads. Meta CEO Mark Zuckerberg announced plans to use 340,000 Nvidia H100 GPUs, totaling around 600,000 GPUs, for running and training AI systems. Meta hopes to lower its dependence on Nvidia chips through the deployment of its own AI chips.