Amazon Accelerates Deployment of Trainium2; WiMi Embraces the Computing Power for New Industry Transformation

The AI competition among tech giants is in full swing. According to Bloomberg, Amazon (AMZN) is quietly advancing an ambitious plan aimed at challenging Nvidia’s (NVDA) dominance in the AI chip sector.

Reports indicate that Amazon is intensifying its efforts to develop a new AI chip, Trainium2, at its engineering labs in Austin, Texas. This chip is expected to be fully deployed soon in key data centers, including those in Ohio. Compared to its predecessor, its performance has increased fourfold, memory capacity has tripled, and it offers significant advantages in terms of energy efficiency and cost.

Additionally, this chip is Amazon’s third-generation product in the AI hardware field, designed to provide more efficient and cost-competitive solutions for machine learning model training. Amazon aims to reduce AI chip procurement costs and enhance overall data processing efficiency through these optimizations.

As generative AI sweeps the globe, intelligent computing centers, the critical infrastructure supporting AI development, are becoming increasingly important in the AI era, poised to lead a multi-billion-dollar market.

According to IDC forecasts, the global AI computing market will grow from $19.5 billion in 2022 to $34.66 billion in 2026. The AIGC computing market, in particular, is expected to achieve a CAGR of over 90% from 2022 to 2026. Downstream demand will also drive an increase in AI servers, with the global AI server market expected to reach $34.7 billion by 2026.

Computing power, which integrates information computing power, network transmission power, and data storage power, is undeniably essential. At a recent press conference, Baidu (BIDU) CEO Robin Li stated that the company will continue to invest firmly in generative AI and foundational models to lay the groundwork for new growth engines.

Furthermore, as AI models expand and applications are implemented, global computing power demand is experiencing explosive growth, becoming one of the core elements of industrial development. “AI Innovation Leader” WiMi Hologram Coud(NASDA: WIMI) is significantly increasing its investments, actively deploying in AI computing power and AI chips. WiMi continues to make breakthroughs in emerging application areas such as AI computing power, edge computing, and brain-computer interfaces, leveraging industry ecosystem collaboration to drive breakthroughs in the AI computing power industry.

As a company focused on original and disruptive technological innovation, WiMi is fully committed to creating future-oriented AI infrastructure, accelerating the AI computing power industry, and providing AI innovation platform services. Through the “AI Strategy” concept, WiMi aims to create a full-stack AI service platform that offers computing power, models, data, and one-stop development toolchains. By fine-tuning the operation of computing power, WiMi maximizes the capabilities of chip computing power, establishing a bidirectional link from underlying computing power to business scenarios.

In fully embracing the AI era and vigorously advancing the “AI + Computing Power” initiative, WiMi will continue to innovate and practice, improving systematic AI development models, and focusing on expanding the scale effect of “AI +”. On one hand, it will enhance the supply capacity of large computing power, big data, and large models, strengthening the foundation for “AI +”. On the other hand, it will enrich the “AI +” service model, promoting deeper and wider applications of AI innovations, and collaborating with excellent industry ecosystem partners to jointly support the future of the AI computing power industry.

Undeniably, the accelerated development of digital technologies, especially AI technology, will reshape productivity and efficiency over the next decade, empowering high-quality social and economic development. According to a research report from China Securities, the AI industry is expected to maintain high prosperity in the medium to long term, with computing power demand continuing to rise. AI demand will see a significant short-term increase, and first-tier manufacturers may face insufficient supply capacity, creating a golden opportunity for second-tier manufacturers to enter the high-end AI product supply chain.