For those of us who have ever wondered how we can use AI to solve the world’s most pressing problems, Cerebras Systems is here to show us just how. This San Francisco-based startup has developed a revolutionary form of artificial intelligence (AI) that has been featured in the New Yorker and proclaimed by some as a potential ‘game changer’ for technology companies. In this blog post, we’ll take a closer look at what Cerebras is doing differently from other companies in the AI space and why it’s making such big waves. Let’s dive in!

Cerebras: The Company

Cerebras is a company that specializes in artificial intelligence. They are based in California and were founded in 2016. The company is led by co-founders Demis Hassabis, Ryan Poplin, and Matthew Taylor. Cerebras has raised over $100 million from investors such as Andreessen Horowitz, NEA, and Obvious Ventures.

Cerebras’ mission is to “build the first exascale AI computer”. An exascale computer is one that can perform a billion billion calculations per second. This would be a significant improvement over the current state of the art, which is only able to perform about 10^18 operations per second.

To achieve their mission, Cerebras has developed a new type of computer architecture called Wafer Scale Engine (WSE). WSE uses an array of processors that are connected together on a single wafer. This allows for much higher data throughput and energy efficiency than traditional architectures.

Cerebras plans to use WSE to build an AI system that can be used for a variety of tasks such as image recognition, natural language processing, and autonomous driving. The company is currently working on a prototype system that they hope to have ready by 2020.

The Cerebras Wafer Scale Engine

The Cerebras Wafer Scale Engine (WSE) is the world’s largest chip, specifically designed for artificial intelligence workloads. It has 1.2 trillion transistors and an area of 46,225 mm². The WSE was created by Cerebras Systems, a startup founded in 2016 by UCLA professor Andrew Feldman and entrepreneur Zachary Lipson.

The WSE is designed to be more efficient than traditional GPUs for deep learning tasks such as image recognition and natural language processing. In addition to its size, the WSE has several other unique features that make it well-suited for AI applications. For example, each of the chip’s 9,216 cores has its own dedicated memory, which reduces latency and improves data throughput.

Cerebras plans to ship the WSE to customers in 2019. Pricing has not been announced, but the company says it will be “competitive with other large-scale AI systems.”

The Implications of the Cerebras Chip

The Cerebras chip is a new type of computer chip that is designed to emulate the workings of the human brain. This could have far-reaching implications for artificial intelligence and machine learning, as it would allow machines to learn and think more like humans. This could lead to more intelligent and effective artificial intelligence applications, such as better voice recognition and natural language processing.

Competition in the AI Hardware Space

As the artificial intelligence hardware market continues to heat up, Cerebras Systems is staking its claim as a leading player. The company, which was founded in 2016, has raised $141 million in funding from investors including Andreessen Horowitz and Peter Thiel’s Founders Fund.

Cerebras Systems is focused on building specialized chips for deep learning, a subset of AI that involves training algorithms with large amounts of data. The company’s flagship product is the Wafer-Scale Engine (WSE), a chip that includes an unprecedented 1.2 trillion transistors.

The WSE is designed to speed up deep learning training by orders of magnitude compared to traditional GPUs (graphics processing units). This makes it an attractive option for companies and researchers who are looking to gain a competitive edge in the AI arms race.

While Cerebras Systems is not the only company vying for a piece of the AI hardware pie, it is one of the most well-funded and promising startups in the space. Only time will tell if its technology can live up to the hype.

The Future of AI

There is no doubt that artificial intelligence (AI) is rapidly evolving and growing more sophisticated every day. With the rapid expansion of AI capabilities, businesses and individuals are beginning to realize its potential to transform industries and change the way we live and work.

One of the most impactful changes that AI will bring is its ability to automate decision-making processes. This means that businesses will be able to rely on AI systems to make decisions for them, freeing up time and resources that can be better spent elsewhere. Additionally, AI will be able to handle more complex tasks than ever before, making it an invaluable tool for businesses across all industries.

Another major change that AI will bring is its ability to improve communication between humans and machines. Currently, there is a disconnect between how we as humans communicate and how machines communicate with us. However, with the help of AI, this gap will begin to close as machines become better at understanding human language and communication.

Finally, AI will also have a major impact on the workforce of tomorrow. As AI systems become more advanced, they will quickly begin to replace many jobs currently performed by human workers. This could lead to mass unemployment in certain sectors unless measures are put in place to retrain workers for new jobs. While this may seem like a negative development at first glance, it could actually lead to new opportunities for those who are willing to adapt and learn new skills.

Overall, it is clear that AI is going to have a profound