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How Cerebras is breaking the GPU bottleneck on AI inference

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia has long dominated the market in compute hardware for AI with its graphics processing units (GPUs). However, the Spring 2024 launch of Cerebras Systems’ mature third-generation chip, based on their flagship wafer-scale engine technology, is […]

This article explores why Cerebras’ new product matters, how it stacks up against both Nvidia’s offerings and those of Groq, another new startup providing advanced AI-specialized compute hardware and highlights what enterprise decision-makers should consider when navigating this evolving landscape. “Speed and scale change everything,” according to Kim Branson, SVP of AI/ML at GlaxoSmithKline, where the boost provided by Cerebras’ CS-3 has reportedly improved the company’s ability to handle massive datasets for drug discovery and analysis. Both companies’ cloud offerings allow decision-makers to experiment with advanced AI inference technologies at a lower cost and with greater flexibility, making it relatively easy to get started despite their smaller market presence compared to Nvidia.

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