For example, the quickest way to a game would seem to be a subset of SimCity. 

What is commonly known as DSCR Loans are loans from private lenders, not typically banks, and these loans are part of the "Non-QM" umbrella and turned into mortgage-backed securities, not typically held on a bank's balance sheet.Here are some articles published on BP that should help!

But I typically see $700-900 per room.2.

Typical wishes, right?

For example, a $1 million policy could have an initial commission of $50,000 to $100,000, significantly impacting the policy's cash value in the early years.Limited Access to Capital: Accessing the cash value requires taking out a policy loan, which accrues interest, typically at a rate of 5-8%.

The general investment profile of recent investors are second home or vacation home buyers, typically from out of State or area, and looking to take advantage of the diminishing benefit of the 'STR Loophole' of accelerated depreciation to offset high W-2 wage taxes. 

Larger complexes typically range in the $85-100k per door range.

IntroductionBrief overview of the increasing role of data centers in the digital age.Introduction to the concept of artificial intelligence (AI) and its growing influence on data center designs.The Driving Force Behind AI-Integrated Data CentersExplanation of why AI is becoming indispensable for modern data centers.Overview of the challenges faced by traditional data centers, including energy efficiency, cooling, and reliability issues.Transforming Efficiency and SustainabilityAI-Optimized Energy ConsumptionDetailed look at how AI algorithms improve energy efficiency, reducing operational costs and environmental impact.Smart Cooling SystemsExploration of AI-driven cooling solutions that adapt in real-time to optimize temperatures and further enhance energy efficiency.Sustainability at the CoreDiscussion on how AI integration contributes to greener data center practices and the pursuit of carbon neutrality.Enhancing Reliability and Performance with AIPredictive MaintenanceInsight into how AI predictive analytics can forecast equipment failures, ensuring high reliability and minimizing downtime.Dynamic Resource AllocationExamination of how AI optimizes the distribution of computational resources, enhancing the overall performance of data centers.Case Studies: AI in ActionPresentation of real-world examples where AI has successfully improved data center designs and operations.The Future Landscape: AI-Powered Data CentersSpeculation on future trends and the evolving role of AI in data center innovation.The potential impact on industries reliant on data center services, including cloud computing, telecommunications, and large-scale enterprise IT.ConclusionRecap of the key points discussed.Encouragement for industry stakeholders to consider the integration of AI in data center designs.A call to action for further research and investment in AI technologies to drive the next generation of data centers.

Yes, the market goes up and down (and that example is one fantastic year, although we've had a lot of them)... 

Lenders typically require a DSCR of at least 1.2 to 1.25, which means the property's NOI must be at least 120-125% of the annual loan payments.this would be a boost to the investing time