Musk has a huge AI computing power layout construction; more tech companies improve the AI smart computing

As a new driving force to activate the potential of data elements, computing power has become an important resource in the era of digital economy. Especially after nearly two years of ChatGPT swept the world, a new wave of artificial intelligence took the lead in bringing new vitality to computing power.

Artificial intelligence is leading a new global wave of technology. According to IDC data, the global generative AI market space has increased about sixfold from 2020 to 2023, and is expected to grow at a compound growth rate of 40% between 2024 and 2030 and close to $1 trillion in 2030.

Attention needs to be paid to the intensive iteration of global AI large models, and computing power is the necessary underlying infrastructure for the training and commercial application of AI large models. The emergence of generative AI technology has driven the wave of global computing power investment, and only the domestic demand for computing power also presents a blowout trend. According to IDC report data, it is expected that the domestic intelligent computing market will maintain a high growth in the next five years, with a compound annual growth rate of 52.3%.

Now the booming AI, various manufacturers quickly follow the development of computing power. Elon Musk announced on social media that the Supercluster, jointly created by xAI, X and Nvidia, began training on July 22. It consists of 100,000 H100, which is the strongest training cluster in the world.

The fundamental reason Musk built the supercomputing center was to train xAI’s chatbot Grok. The official opening of the supercomputing center will call the horn for Musk’s counterattack against OpenAI. It is worth mentioning that the world’s largest supercomputing center just started construction in March this year.

Due to a shortage of models relying on expensive graphics processing units (GPU) to develop AI models, OpenAI is exploring the possibility of making its own AI chips. According to the sources, OpenAI plans to use the raised funds to set up a joint venture chip design company to implement the development and design work of AI chips, and then leave its AI chips to TSMC to produce.

OpenAI Decided to develop the AI server chip in response to the infrastructure needs. Earlier, OpenAI CEO Sam Altman had planned to raise billions of dollars to build a semiconductor manufacturing network working with chipmakers such as Intel, TSMC and Samsung Electronics.

In contrast, AMD Chairman Zifeng Su said she reported strong turnover and revenue growth in the second quarter, helped by record turnover in the data center division. The rapid growth of generative AI drives higher demand for computing power in various markets, the AI business continues to accelerate, and AMD is fully prepared for strong turnover growth in the second half of the year.

At the same time, according to introducing, WiMi Hologram Cloud (NASDAQ: WIMI) long-term focus on strategic frontier digital field, with big data, supercomputing, artificial intelligence, block chain cutting-edge digital technology for drive, after years of professional exploration, construction into artificial intelligence platform, industry big language model, at the same time the main business group continues to maintain rapid growth, gradually formed the AI big model industry application new ecology, the ground AI application keep the industry leading position.

In the face of artificial intelligence development of high level requirements, WiMi on the one hand to build AI chip and around its infrastructure stack, on the other hand to build to “open, integration, service” as the characteristic advantage of AI + intelligence service solutions, comprehensive build cover force supply, algorithm optimization, data services and industry application of intelligent computing service system, can meet the AI algorithm full stack optimization ability requirements.

Not only that, to consider the future AI application direction and calculate the transfer of the demand, WiMi in terms of basic hardware, adhere to the independent research and development innovation in the field of AI + high-end computing, further through deep learning, large model training, intelligent computing, quantum technology and other AI application scenarios of high-end computing products since the research, help artificial intelligence software scenario customers more efficient and rapid implement AI technology migration and application, better for digital economy quality development inject new impetus.

Overall, the trend of AI is irreversible, at present, the AI force industry is in historic development opportunity, plus a lot of AI application suppliers itself also provides can use the cloud to realize the deployment of alternative products, based on AI fu, to solve big model landing problems in the industry, such as data management, platform construction, layout, etc., for the development of artificial intelligence to lay a long-term and solid foundation. Therefore, the enterprise strategic layout of computing power field, the future is expected to fully grasp the opportunities of computing power industry.