What is Cerebras AI Inference? How to Use, Key Features, and Speed Performance

Cerebras, the artificial intelligence company based in the United States announced the launch of Cerebras AI Inference. This AI tool will make their Wafer-Scale Engine (WSE) chips more accessible to a wider range of developers and researchers. It is designed to make AI models run faster and more efficiently than ever before. This release is aimed to provide developers with a cheaper option than NVIDIA’s processors.

In an exclusive interview with Reuters, the CEO of Cerebras, Andrew Feldman, said “We’re delivering performance that cannot be achieved by a GPU. We’re doing it at the highest accuracy, and we’re offering it at the lowest price.”

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What is Cerebras AI Inference?

When you interact with an AI, such as asking a question to a virtual assistant, the system has to quickly understand your request, process a vast amount of information, and then deliver an answer. This process is known as “inference.”

Traditionally, this inference is done using powerful hardware called GPUs (Graphics Processing Units). However, even the best GPUs can struggle with speed when dealing with very large and complex AI models. This is why sometimes responses from AI might feel a bit slow.

However, Cerebras has developed a new type of technology that tackles these speed issues head-on. They have built a massive, unique chip that can process AI models incredibly fast. The Cerebras AI Inference chip is so powerful that it can handle tasks that would typically slow down even the best GPUs, doing them in a fraction of the time and cost.

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Speed Performance

According to the blog post, announcing its release, Cerebras’s AI Inference delivers 1,800 tokens per second for the Llama 3.1 8B model and 450 tokens per second for the much larger Llama 3.1 70B model. It can process information 20 times faster than traditional GPU-based systems when working on Llama 3.1.

To put this in perspective, this performance is 20 times faster than what is achieved using the latest NVIDIA GPU-based systems in large-scale cloud environments.

For example, generating text with a 70-billion parameter model like Llama 3.1-70B typically takes some time because each word or “token” generated necessitates a complete pass through the entire model. This is often a problem for traditional systems, which results in slow responses, even for very large models. Cerebras streamlines this process to the point where responses are relatively quick. 

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How to Use Cerebras AI Inference?

Developers can easily use Cerebras AI Inference. You can get to it via an API access request. This allows you to incorporate Cerebras’ AI processing into your own applications with minimal changes to the existing infrastructure. Cerebras is providing free tokens for developers to test the service. 

You can also access the AI Inference via Cerebras’ WSE-powered chat. 

Key Features

These are some of the most prominent features of Cerebras AI Inference: 

1. Unmatched Speed: Cerebras AI Inference can process up to 1,800 tokens per second for a mid-sized AI model. This is far faster than what current GPU-based systems can achieve, especially for larger models.

2. Cost Efficiency: Along with being faster, Cerebras also offers a more cost-effective solution. Their pricing is significantly lower than what you would typically pay to run similar AI models on other platforms.

3. High Accuracy: Some companies speed up AI processing by cutting corners, such as lowering data precision, Cerebras keeps precision high. This gives the AI’s answers more reliability and accuracy.

4. Scalability: Cerebras technology is more than speeding up small AI models. It is a versatile solution for a wide range of applications, designed to handle AI models of all sizes, from billions to even trillions of parameters.

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The Bottom Line

The faster an AI can process information, the more complex tasks it can handle in real time. Faster speed allows AI to not only give quick answers but also to perform more sophisticated operations, like considering multiple possibilities before responding. This could lead to smarter, more helpful AI systems in the future. And Cerebras is setting a new standard for AI performance, offering unmatched speed, accuracy, and cost-efficiency.

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