An innovative all-optical network switch that delivers faster and more sustainable data networking infrastructure.

Finchetto是一家总部位于英国的光子计算中小企业。数据中心约占全球用电量的2%，而且使用量正在快速增长，预计到2050年将增长10倍。近四分之一的能源消耗归因于网络交换机。目前世界领先的交换机与光收发器相结合，以提高数据处理速度。然而，光电转换出现了延迟，高能源需求对全球排放有很大贡献。通过消除这种光电转换，开关能耗可以降低90%。解决这一问题将减少2.56亿吨二氧化碳，并将数据中心的运营成本降低约265B。Finchetto正在开发一种更快、更低能耗的全光网络交换机，以取代现有的最先进的光电交换机，以提供更快、更可持续的数据网络基础设施。该解决方案可将数据中心交换机的能耗降低高达90%，在英国估计可节省10公吨二氧化碳。这相当于英国政府10点计划中提出的2032年英国整体碳减排目标的5%。通过采用芬切托的产品，数据中心客户可以降低成本、减少排放，并为最终用户提供性能改进，从而增加竞争优势。Finchetto将使用光进行更快、更可持续的计算。通过提高计算性能，人工智能模型可以处理更大的数据集，这将为医疗保健和车辆安全等领域的进步提供数据洞察。

Finchetto is a UK-based photonic computation SME.Data centres account for around 2% of global electricity consumption, and usage is growing rapidly, with a 10-fold increase expected by 2050\. Almost a quarter of this energy use is attributable to network switches. The current world-leading switches are coupled with optical transceivers to improve data processing speed. However, delays occur in optoelectrical conversion, and the high-energy requirements contribute significantly to global emissions. Switch energy consumption can be reduced by 90% by eliminating this optoelectrical conversion. Addressing this problem would reduce CO2e by 256M tonnes and reduce data centre running costs by around £265B.Finchetto is developing a faster, lower-energy, all-optical network switch that replaces existing state-of-the-art optoelectronic switches to deliver faster and more sustainable data networking infrastructure. The solution can reduce data centre switch energy consumption by up to 90%, saving an estimated 10 MT of CO2e in the UK. This represents 5% of the entire UK carbon reduction target for 2032 as outlined in the government's 10-Point Plan.By adopting Finchetto's product, data centre customers can reduce costs, reduce emissions, and provide performance improvements to end-users that increase competitive advantage. Finchetto will enable faster, more sustainable computation using light. By improving compute performance, AI models can manipulate larger datasets which will deliver data insights for advances in such areas as healthcare and vehicle safety.