Graphcore is a semiconductor company that develops Intelligence Processing Units (IPUs), a new type of microprocessor specifically designed for AI and machine learning workloads. Their IPU systems aim to help innovators achieve breakthroughs in artificial intelligence by providing significantly higher performance and efficiency for complex AI models. Graphcore's technology is used in various fields, including natural language processing, computer vision, and scientific research, enabling more detailed models and faster training times.
The Bristol headquarters serves as the central hub for Graphcore's research and development, core engineering, product strategy, and global corporate operations.
The headquarters is situated in 100 Temple Street, a modern, BREEAM Excellent rated office building known for its sustainable design and contemporary facilities. It offers a dynamic environment conducive to innovation.
Graphcore's Bristol HQ fosters a culture of deep technological innovation, collaborative research, and fast-paced development. Employees often describe an intellectually stimulating environment focused on solving complex challenges in AI hardware and software.
Locating the HQ in Bristol provides Graphcore with access to a strong talent pool from leading universities and a thriving tech ecosystem. It positions the company at the heart of UK's innovation landscape, fostering collaboration and growth.
Graphcore maintains a global presence with offices and operations across North America, Europe, and Asia. This international footprint enables the company to support a diverse customer base, engage with regional AI ecosystems, and drive worldwide adoption of its Intelligence Processing Unit technology through localized sales, engineering support, research collaborations, and business development activities.
100 Temple Street
Bristol
England
United Kingdom
Address: 2479 E Bayshore Rd #130, Palo Alto, CA 94303, USA
To drive adoption of IPU technology among US-based AI innovators, enterprises, and research institutions, and to tap into the region's rich talent pool and tech partnerships.
Address: The Maurice Wilkes Building, St John's Innovation Park, Cowley Rd, Cambridge, CB4 0DS, UK
To contribute to core IPU hardware and software development, working closely with the academic and research community in Cambridge and strengthening Graphcore's engineering capabilities.
Address: Room 103, Level 1, Office Block C, The Towers, No. B2 Yard, No.12 Jianguomenwai Avenue, Chaoyang District, Beijing 100022, China
To engage with Chinese customers and partners, providing local expertise and support for deploying Graphcore's IPU solutions in various AI applications.
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As of April 2025, Graphcore' leadership includes:
Graphcore has been backed by several prominent investors over the years, including:
Graphcore has focused on strengthening its leadership in key areas such as finance, product, and business development over the past 12-18 months. While the company has undergone some restructuring, key C-suite appointments aim to drive its next phase of growth and innovation in the AI hardware market. No major C-suite departures have been publicly announced in the last 12 months.
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Graphcore primarily uses the 'first.last' email format for its employees. Other variations might exist but are less common.
first.last@graphcore.ai
Format
nigel.toon@graphcore.ai
Example
85%
Success rate
Sifted • June 4, 2024
UK AI chipmaker Graphcore is reportedly in discussions with major tech companies including Arm, SoftBank, and OpenAI regarding a potential acquisition, with deal values estimated between $500 million and $1 billion....more
The Register • May 16, 2024
Graphcore has discontinued its Bowspring AI training system, a configuration of its Good Computer Pods, signaling a shift in its product strategy as it focuses on next-generation IPU technologies....more
Graphcore Newsroom • October 11, 2023
Graphcore and Aleph Alpha announced an expansion of their partnership to deliver advanced AI compute using Graphcore IPUs for Aleph Alpha's Luminous large language models, aiming to provide powerful and efficient generative AI solutions....more
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