Revolutionary AI Chip Sohu Set to Disrupt the Industry

Revolutionary AI Chip: Sohu Set to Disrupt the Industry

In the world of artificial intelligence, a new player has emerged to challenge the dominance of Nvidia, a leader in the AI hardware industry. Etched, a California-based startup founded by two Harvard dropouts, has developed a transformer ASIC (Application Specific Integrated Circuits) chip called Sohu, which is claimed to be 20 times faster than Nvidia’s flagship H100 in running transformer AI models like ChatGPT.

The Sohu chip is designed specifically for transformer AI models, which are used in applications such as language translation, text-to-video generation, and visual question-answering. Unlike Graphics Processing Units (GPUs), which can handle multiple tasks simultaneously, Sohu is a specialized chip that focuses solely on transformer models. This unique approach allows for faster processing and opens up new possibilities for developers to create innovative AI products.

For instance, Sohu could enable real-time translation of languages like Hindi, Gujarati, or Tamil to French, English, and German. This could lead to the development of multimodal and multilingual translation applications, where a model can understand and respond to multiple languages and formats simultaneously. The chip could also integrate visual and language areas, enabling visual questions and answers, similar to an interview.

Etched has raised $120 million to bring Sohu to the market and has secured a deal with TSMC (Taiwan Semiconductor Manufacturing Company) to fabricate the 4-nanometer chip. The company has already received tens of millions of dollars’ worth of preorders for the chip, which is expected to “ramp up our first year of production.” While the exact release timeline remains unclear, Etched is poised to make a significant impact in the AI hardware industry.

The development of Sohu is significant because it allows for the creation of new AI products that were previously not possible due to limited computational power. This could lead to breakthroughs in areas such as language translation, visual question-answering, and multimodal applications. As the AI industry continues to evolve, Sohu is set to play a crucial role in shaping its future.

Key Points:

  • Sohu is a transformer ASIC chip developed by Etched, a California-based startup.
  • Sohu is 20 times faster than Nvidia’s H100 in running transformer AI models.
  • The chip is designed specifically for transformer models, unlike GPUs.
  • Sohu could enable real-time translation and multimodal applications.
  • Etched has raised $120 million and secured a deal with TSMC to fabricate the chip.
  • The company has received tens of millions of dollars’ worth of preorders for the chip.

Historical Context:

The development of artificial intelligence (AI) has been a gradual process, with significant milestones achieved over the past few decades. The concept of AI dates back to the 1950s, but it wasn’t until the 1980s that the term “Artificial Intelligence” was coined. The 1990s saw the emergence of AI as a distinct field, with the development of expert systems, neural networks, and machine learning algorithms. The 2000s witnessed the rise of deep learning, which enabled AI to learn from large datasets and improve its performance.

In recent years, AI has become increasingly pervasive, with applications in various industries such as healthcare, finance, and transportation. The development of specialized hardware, such as Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs), has enabled the processing of complex AI models. However, the dominance of Nvidia in the AI hardware industry has led to a focus on general-purpose computing, rather than specialized chips designed for specific AI applications.

The emergence of Etched and its Sohu chip marks a significant shift in the AI hardware landscape. The development of a transformer ASIC chip specifically designed for transformer AI models could lead to breakthroughs in areas such as language translation, visual question-answering, and multimodal applications.

Summary in Bullet Points:

• Sohu is a transformer ASIC chip developed by Etched, a California-based startup, which is claimed to be 20 times faster than Nvidia’s H100 in running transformer AI models. • The chip is designed specifically for transformer models, unlike GPUs, which can handle multiple tasks simultaneously. • Sohu could enable real-time translation and multimodal applications, such as language translation, text-to-video generation, and visual question-answering. • Etched has raised $120 million and secured a deal with TSMC to fabricate the chip, which is expected to “ramp up our first year of production.” • The company has received tens of millions of dollars’ worth of preorders for the chip, indicating significant interest in the technology. • The development of Sohu is significant because it allows for the creation of new AI products that were previously not possible due to limited computational power. • The chip could lead to breakthroughs in areas such as language translation, visual question-answering, and multimodal applications, shaping the future of the AI industry.



Table of Contents