Technical Analyst

location_onCupertino, Santa Clara Countyschedule13 hours ago
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Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprise…

Skills mentioned


AI, Enterprise Software
Cupertino, Santa Clara County
cerebras.ai

Cerebras Systems is a leading-edge technology company based in Sunnyvale, California, that specializes in accelerating generative AI through its advanced hardware solutions. The company was founded with a dedication to creating a groundbreaking class of AI supercomputers aimed at advancing machine learning and deep learning. With their flagship product, the CS-3, powered by the largest and fastest commercially available AI processor, the Wafer-Scale Engine-3, Cerebras Systems is at the forefront of AI technology. Their systems are designed to overcome the limitations of standard chip packages, providing an unprecedented level of performance for AI applications. The Cerebras team comprises some of the best minds in computer architecture, deep learning, and engineering, all working together to innovate and bring powerful AI solutions to customers. The company’s technology has been adopted by leading corporations, research institutions, and governmental bodies that seek to harness the capabilities of AI for both proprietary and open-source model developments. Cerebras Systems is committed to providing scalable AI solutions available as part of its cloud offerings or on-premises, ensuring clients can leverage high-performance AI computing resources to transform their organizational operations. Their solutions not only focus on speed but also emphasize security and privacy, which are crucial in today’s data-driven landscape.

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