Research

Capital & infrastructure needs for AI deployment

A structured survey to capture capacity requirements, technical choke-points, and financing instrument preferences for modern AI data workloads.

4 sections22 questions~8 min

Step 1 of 4

25% complete

Respondent profile

Infrastructure & expansion

Operations & workloads

Budget & financing

Respondent profile

Tell us who you are and the organization you represent.

Q1.Full name*

Q2.Job title / role*

Q3.Company name*

Q4.Email address*

Q5.Secondary / alternative contact (optional)

Optional. Provide an alternate line-of-business or infrastructure contact.

Q6.Type of business*

Select all that apply.

Cloud Operator (Hyperscaler / Specialized GPU AI Cloud)Managed Service Provider (MSP)Data Center Operator / Colocation ProviderOn-Premise Enterprise Infrastructure OperatorHardware OEM / Component SupplierAI Research Lab / Foundation Model DeveloperAI Product Company (AI SaaS, Applied Software, etc.)Other

Q7.Company size (total employees)*

1-10 employees11-50 employees51-200 employees201-500 employees501-1,000 employees1,000+ employees

Q8.Age of the company*

Less than 2 years2-5 years6-10 years10+ years

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22 questions · Responses sent securely to [email protected]

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