Oriole Networks Ltd

Company description

Oriole Networks develops low energy technologies to improve performance of machine learning and high performance computing systems.

Project impact

Oriole Networks, a new company that revolutionises the performance of AI systems and data centres, has successfully raised £10 million in seed funding. The round was co-led by UCL Technology Fund, Clean Growth Fund, XTX Ventures and Dorilton Ventures, with support from Innovate UK Investor Partnership. Data centres have played a critical role in the proliferation of SaaS companies and are also supporting the predicted platform shift towards AI. However, the increasing demands placed on data centres and the approach underlying their networking are leading to systemic problems and unsustainable power consumption. With Oriole's novel approach, Large Language Models can be trained up to a hundred times faster, whilst consuming only a tiny fraction of the power. As a result, machine learning algorithms can run with a thousandth of the latency, revolutionising time critical tasks such as algorithmic trading, and speeding up AI adoption and AI algorithmic progress. As the demand for compute continues to increase, it is critical to find new solutions that can address these challenges in a sustainable and carbon efficient manner. Our novel approach to harness the power of light has already demonstrated significant technical performance improvements, up to 100 times speed up in completion time and 40 times improvements in energy consumption.

Oriole Networks, a new company that revolutionises the performance of AI systems and data centres, has successfully raised £10 million in seed funding. The round was co-led by UCL Technology Fund, Clean Growth Fund, XTX Ventures and Dorilton Ventures, with support from Innovate UK Investor Partnership. Since the initial funding round, Oriole Networks has raised a further £22 million in funding, with all existing investors re-investing. The total funding raised in its first year was £35 million. Data centres have played a critical role in the proliferation of SaaS companies and are also supporting the predicted platform shift towards AI. However, the increasing demands placed on data centres and the approach underlying their networking are leading to systemic problems and unsustainable power consumption. With Oriole's novel approach, Large Language Models can be trained up to a hundred times faster, whilst consuming only a tiny fraction of the power. As a result, machine learning algorithms can run with a thousandth of the latency, revolutionising time critical tasks such as algorithmic trading, and speeding up AI adoption and AI algorithmic progress. As the demand for compute continues to increase, it is critical to find new solutions that can address these challenges in a sustainable and carbon efficient manner. Our novel approach to harness the power of light has already demonstrated significant technical performance improvements, up to 100 times speed up in completion time and 40 times improvements in energy consumption.