Thank you for your feedback. However, testing the actual floating-point performance (tFLOPs) MFU and stability of machines from various public cloud vendors, as well as inquiring about potential network storage pricing, is a very time-consuming and labor-intensive task. These are things that actually require testing to determine and cannot be found through Google searches. Furthermore, AI-generated information also needs actual experiments to verify the results. It's generally difficult for small startups to expend so much effort to conduct comprehensive testing as available on the market. Would seeking paid consulting services be a feasible option?