AI驱动的云负载管理平台Thoras.ai近日宣布,成功获得150万美元Pre-seed轮融资,此轮融资由Storytime Capital和Focal VC两家知名投资机构领投,Hustle Fund、Precursor Ventures、Pitch Fund以及多位业界知名的天使投资人积极参与跟投。这标志着市场对Thoras.ai在AI领域的创新及云资源管理解决方案的认可。
Thoras.ai的平台借助先进的机器学习技术,能够自动化地为Kubernetes工作负载分配和优化资源,从而提高云环境的效率和成本效益。在当前企业对云服务需求日益增长的背景下,Thoras.ai的解决方案有望帮助企业更好地管理和控制他们的云基础设施,降低运营成本,同时提升应用性能。
此次Pre-seed轮融资的资金将主要用于进一步研发Thoras.ai的核心技术,增强平台的功能,并加速市场拓展,以满足全球范围内对高效云资源管理日益增长的需求。随着这笔投资的注入,Thoras.ai有望在AI驱动的云管理领域崭露头角,为业界带来更加智能和自动化的云负载管理新体验。
来源:TechCrunch
英语如下:
News Title: “Thoras.ai Secures $1.5M Pre-Seed Funding, Marking a New Era in AI-Powered Cloud Load Management”
Keywords: AI Cloud Management, Thoras.ai, Pre-Seed Funding
Press Release:
AI cloud management startup Thoras.ai has announced the completion of a $1.5 million Pre-Seed funding round, led by prominent investors Storytime Capital and Focal VC. Notable participation also came from Hustle Fund, Precursor Ventures, Pitch Fund, and several industry-renowned angel investors, signifying confidence in Thoras.ai’s AI innovations and cloud resource management solutions.
Thoras.ai’s platform, leveraging advanced machine learning, automatizes Kubernetes workload资源配置 and optimization, enhancing cloud environment efficiency and cost-effectiveness. Amidst the growing demand for cloud services, the company’s solution aims to assist businesses in better managing and controlling their cloud infrastructure, reducing operational costs, and boosting application performance.
The proceeds from this Pre-Seed round will primarily fund the further development of Thoras.ai’s core technology, enhance platform capabilities, and accelerate market expansion to cater to the increasing global need for efficient cloud resource management. With this investment, Thoras.ai is poised to make its mark in the AI-driven cloud management space, introducing a smarter and more automated experience in cloud load management.
Source: TechCrunch
【来源】https://techcrunch.com/2024/03/26/thoras-ai-created-a-kubernetes-optimization-tool-to-automate-resource-allocation/
Views: 4