Energy company TAR completes $27 million seed round financing to address power issues in AI era data centers BlockBeats News: On June 15th, green energy infrastructure startup TAR announced the completion of a $27 million seed round of funding to develop a modular "plug and play" power system for data centers to address the power and deployment bottlenecks faced by data centers in the AI era. According to reports, this plan combines solar energy, wind energy, battery energy storage, and natural gas backup units to achieve near 24/7 local power supply capacity, reducing dependence on the public power grid and avoiding issues such as grid access queues, approval delays, and electricity price fluctuations. The co-founder of TAR stated that its core idea is to significantly reduce the deployment cycle of energy systems through factory prefabrication, pre assembly, and pre testing, in order to achieve the ability of data centers to go live quickly. In the pilot project, the system can provide about 10MW of stable power supply, and plans to deploy over 200MW of normal load capacity before 2027. The company stated that its first client is an undisclosed "Neocloud" service provider, with the goal of providing a faster energy delivery path for AI computing infrastructure. In terms of economic models, TAR states that its solution does not pursue lower costs than traditional power grids, but rather prioritizes addressing the 'speed issue'. Its off grid energy system can be deployed in about three months and avoid the time cost caused by grid access and land restrictions. As the demand for AI computing power continues to grow, power supply has been identified by multiple studies as one of the main bottlenecks for data center expansion. Industry analysis suggests that this "off grid energy+modular data center" model is becoming one of the new directions in the competition for AI infrastructure. [Original link]