![]() ![]() The fact that the organization didn’t use the European leg of its annual user symposium to talk about generative AI - and instead talk about a practical application of AI, twinned with a carbon-neutral message - may be refreshing enough of a change to take a deeper look. Using a small-edge datacenter, or a ‘ digital boiler’, the system immerses computers in mineral oil to capture the generated heat, this is then passed through a heat exchanger to heat the water.Ĭivo isn’t AWS, Azure or Google, obviously.īut, that said, the company is gaining recognition among the cloud cognoscenti and its team is now seen regularly at Linux Foundation summits, Cloud Native Computing Foundation (CNCF) events and other industry gatherings. Deep Green’s solution reduces energy bills and environmental costs for organizations that require significant amounts of heat, such as swimming pools, food manufacturers and textile firms amongst many.” To combat the problem, Deep Green captures 90% of the heat produced by servers and puts it to good use by using it to provide free hot water. This is said to help organizations move towards a sustainable and net-zero future and, with this new partnership, it will provide Deep Green with a constant workload to generate zero carbon heat to power its community-based projects.Īccording to Mark Bjornsgaard, CEO of Deep Green, “Datacenters currently produce 3% of global emissions. The union between Civo and Deep Green will give Civo customers the opportunity to run their cloud workloads on Deep Green’s servers, giving them access to a sustainable cloud solution. London-based carbon-neutral compute specialist Deep Green has now formed a new partnership with Civo focused on cleaner cloud computing. Green and cleanĬivo also tabled an eco-sustainability update, currently being rolled out as part of its wider platform initiatives. Civo Recite is our next step in upholding this promise to developers,” he added. ![]() At Civo we are committed to pushing forward ML innovation, making developer’s lives easier with our technology every step of the way. “Every user should have access to ML tooling that is high performance, easy to use, and does not cost the Earth to run. Too often these tools do not meet the needs of users, with complexity and inefficiencies in how they are run limiting their value,” said Josh Mesout, Civo chief innovation officer. One of the biggest opportunities is streamlining time-intensive processes, freeing staff up to focus on higher-value tasks. “Machine Learning is right at the heart of some of the most exciting innovations in technology today businesses are already seeing the benefits. Recite is intended to make users’ lives easier and it is designed to be accessible and requires no ML or Infrastructure expertise. Recite is currently in early alpha testing and it is destined to go on and become part of Civo’s expanding Machine Learning (ML) offering. The service is also ready for large audio files and big data formats, addressing enterprise adoption and surpassing OpenAI’s 25MB file limit. Fifty languagesĪccelerated by Civo’s high-performance Nvidia GPU Infrastructure, the service supports more than fifty languages and over seven file formats. ![]() We are open sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing,” notes OpenAI, when explaining Whisper. Moreover, it enables transcription in multiple languages, as well as translation from those languages into English. “We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. ![]()
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