The leader in AI reasoning technology, Groq, has successfully completed its Series D financing, raising a staggering $640 million. This feat marks a significant transformation in the field of artificial intelligence infrastructure. The financing was led by Blackstone Private Equity Partners and attracted investment institutions such as New Berger Berman, Type One Ventures, as well as strategic investors including Cisco, KDDI, and Samsung Catalyst Fund. This further raises Groq's valuation to a new height of $2.8 billion.

Groq, headquartered in Mountain View, plans to use this substantial funding to rapidly expand its production scale and accelerate the development of the next-generation Language Processing Unit (LPU). The aim is to meet the urgent demand for efficient reasoning capabilities in the AI industry's transition from training to deployment.

Stuart Pann, the newly appointed Chief Operating Officer of Groq, stated in an interview that the company is well-prepared to face this market challenge. "We have signed cooperation agreements with suppliers and are closely collaborating with Original Design Manufacturers (ODMs) to explore efficient rack manufacturing solutions. We have also pre-booked data center space and power resources to ensure the smooth construction and efficient operation of our cloud platform."

As a rising star in Silicon Valley, Groq ambitiously plans to deploy over 108,000 LPUs by the end of the first quarter of 2025, aiming to become the world's largest provider of AI reasoning computing power, second only to major tech giants. This expansion strategy not only solidifies its position in the industry but also provides strong support for its growing developer community. Currently, over 356,000 developers are engaged in project development and innovation on the GroqCloud platform.

Notably, Groq's "Token as a Service" (TaaS) has gained significant attention due to its outstanding speed and cost-effectiveness. Pann revealed, "The TaaS service on GroqCloud not only excels in speed but also offers the most affordable price according to independent benchmark tests conducted by Artificial Analysis. We call it 'Inference Economics,' dedicated to providing users with the best cost-performance experience."

In the context of a severe shortage in the semiconductor industry, Groq's supply chain strategy stands out as unique and robust. "Our LPU adopts a distinctive architectural design that does not rely on key components with extended delivery times," explained Pann. "It abandons technologies such as High Bandwidth Memory (HBM) and Chip-on-Wafer-on-Substrate (CoWoS), opting instead for GlobalFoundries' 14-nanometer mature process manufacturing. This process is not only cost-effective but also produced domestically in the United States, effectively reducing supply chain risks."

This emphasis on domestic manufacturing aligns with the current tech industry's deep concern for supply chain security and has positioned Groq favorably amidst governments' strengthened scrutiny of AI technology and its sources.

As Groq's technology rapidly proliferates, its application scenarios are becoming increasingly diverse. Pann specifically mentioned several typical cases, including achieving intelligent patient coordination and care in the medical field, dynamically adjusting prices through real-time market demand analysis, and utilizing Large Language Models (LLMs) to process genomic data in real-time, providing the latest genetic medication guidelines. These applications not only demonstrate the powerful potential of Groq's technology but also foreshadow the increasingly important role of AI reasoning technology in future social development.