Start-up secures $30 million funding to rival Intel and Nvidia on AI development
UK-based start-up Graphcore raises funds to work on AI application chips
A UK start-up has raised $30 million in funding from VCs to develop AI applications and processors.
Graphcore hopes to make machine learning faster and easier, by reducing the cost of faster AI applications in the cloud and bringing AI to consumer devices.
It said in a blog post that the Series A funding round will enable it to "innovate faster and execute at scale with backing from some of the biggest names in the technology industry".
The company said it spent two years building up its team of hardware and software engineers and is now ready to kick-off.
Although innovation has been proceeding at an algorithmic level, according to the firm, Graphcore said the same cannot be said about processors, and it aims to build "highly parallel processors" that will operate at higher speeds and will allow greater flexibility.
Nigel Toon, CEO of Graphcore, said: "The energy in our team as we start our journey is remarkable. The innovation they are unlocking is ground breaking. We look forward to sharing more about our technology and helping you to create the next generation of machine intelligent applications, services, products and devices."
The company said its investors will be providing both funding and connections within the competitive field of AI development. Among its investors are Bosch, Samsung, Amadeus Capital, C4 Ventures, Draper Esprit, Foundation Capital & Pitango Capital.
Sign up today and you will receive a free copy of our Future Focus 2025 report - the leading guidance on AI, cybersecurity and other IT challenges as per 700+ senior executives
Dr Hongquan Jiang, Partner at Robert Bosch Venture Capital GmbH, said Graphcore provides "a unique technology that has massive potential in the fast emerging market for deep learning."
Jiang also added: "A new processor technology is needed for intelligent systems and Graphcore has the first technology that we have seen which really delivers the performance and efficiency needed for this style of compute."
Graphcore's technology could compete with that developed by other companies such as Intel and Nvidia.Speaking to EE Times earlier this month, Young Sohn, Chief Strategy Officer at Samsung Electronics, called Graphcore "one of Samsung's investments that is "challenging Nvidia."
Ekaterina Almasque, Managing Director at Samsung Catalyst Fund in Europe said: "Graphcore's approach is unique in its capability to enable advanced intelligent systems. It closes the gap between the level of intelligence we want to see on edge devices and compute limitations of existing hardware architectures. Graphcore will play an important role as a key enabling technology."
-
Trump's AI executive order could leave US in a 'regulatory vacuum'News Citing a "patchwork of 50 different regulatory regimes" and "ideological bias", President Trump wants rules to be set at a federal level
-
TPUs: Google's home advantageITPro Podcast How does TPU v7 stack up against Nvidia's latest chips – and can Google scale AI using only its own supply?
-
Future focus 2025: Technologies, trends, and transformationWhitepaper Actionable insight for IT decision-makers to drive business success today and tomorrow
-
Gaining timely insights with AI inferencing at the edgeWhitepaper Business differentiation in an AI-everywhere era
-
Scaling AI from pilot to production: Maximize AI impact with HPE & IntelWhitepaper Transform AI proof-of-concepts into full-scale implementations
-
B2B Tech Future Focus - 2024Whitepaper An annual report bringing to light what matters to IT decision-makers around the world and the future trends likely to dominate 2024
-
Six steps to success with generative AIWhitepaper A practical guide for organizations to make their artificial intelligence vision a reality
-
The power of AI & automation: Productivity and agilitywhitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem
-
UK supercomputer boom as HPE and Dell receive funding for new AI clusterNews The UK’s AI computing capabilities will increase by an order of magnitude in 2024
-
Operational efficiency and customer experience: Insights and intelligence for your IT strategyWhitepaper Insights from IT leaders on processes and technology, with a focus on customer experience, operational efficiency, and digital transformation