Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Today's demand for real-time data analytics at the edge marks the dawn of a new era in machine learning (ML): edge intelligence. That need for time-sensitive data is, in turn, fueling a massive AI chip market, as companies look to provide ML models at the edge that have less latency and more power efficiency. Conventional edge ML platforms consume a lot of power, limiting the operational efficiency of smart devices, which live on the edge.

Artificial intelligence has revolutionized every aspect of our lives in this technological age. When we look at self-driving cars, smartphones, electronics, and robotics around us, we can easily discover the opportunities we can create by integrating AI. Besides, next-generation AI processors are much more powerful and can do more image processing, machine vision, machine learning, deep learning and artificial neural networks. The list of top AI chip manufacturers also shows interest from big players such as Intel, Apple, and Nvidia in this industry, positioning them as key competitors in the AI chip market. Therefore, it is easy to assume that we can expect significant growth in AI technology over the next few years with the major tech giants participating.

A staggering amount of money is pouring into data center AI chip companies at the moment. Data center AI chip companies are raising eye-watering amounts of money. In the last week, we've seen Groq announce a $300 million Series C round of funding, and SambaNova raise a staggering $676 million Series D. SambaNova is now valued at somewhere above $5 billion. They are not the only ones in this sector raising these huge amounts of money. Fellow data center AI chip companies Graphcore (raised $710 million, valued at $2.77 billion) and Cerebras (raised more than $475 million, valued at $2.4 billion) are hot on their heels as the sector continues to gain momentum.

MOUNTAIN VIEW, Calif., April 13, 2020 -- Synopsys, Inc. announced that Groq has adopted the Synopsys ZeBu Server 4 emulation solution for its Tensor Streaming Processor (TSP) architecture development. ZeBu Server 4 performance and capacity enabled first silicon success of Groq's TSP architecture for artificial intelligence (AI) and machine learning platforms. ZeBu also enabled optimization and validation of Groq's TSP architecture prior to silicon, resulting in unmatched performance for throughput and latency. "As we redefine compute technology with our unique single-core architecture, we are enabling the development of artificial intelligence and machine learning platforms that offer twice the inference performance while drastically reducing infrastructure costs," said Adrian Mendes, chief operating officer at Groq. "Synopsys ZeBu Server 4 Cloud solution delivered the performance and capacity required to efficiently analyze performance of our Tensor Streaming Processor, enabling us to focus on silicon innovation." ZeBu Server 4 is the industry's fastest emulation system offering 2X higher performance over competitive solutions.