How do AI models rank Cloud Infrastructure Providers?
The public record of what ChatGPT, Claude, Gemini, and Perplexity recommend. Ranked across 19 brands, dated at every close.
Model APIMicrosoft Azure holds #1 on consensus, at 64.
- ChatGPT—
- ClaudeAmazon Web Services (AWS)
- GeminiAmazon Web Services (AWS)
- PerplexityAmazon Web Services
| Consensus rankAPI + Search: measured on the official model API with web search enabled | ChatGPT#1 Microsoft Azure | Claude#1 Amazon Web Services (AWS) | Gemini#1 Amazon Web Services (AWS) | Perplexity#1 Amazon Web Services |
|---|---|---|---|---|
1 Microsoft AzureUp 1 from the last close 64 | Not named by ChatGPT | #285Down 1 from the last close | #285No change from the last close | #285No change from the last close |
2 Amazon Web Services (AWS)Down 1 from the last close 50 | Not named by ChatGPT | #1100No change from the last close | #1100No change from the last close | Not named by Perplexity |
3 Google Cloud Platform (GCP)No change from the last close 36 | Not named by ChatGPT | #372Down 2 from the last close | #372No change from the last close | Not named by Perplexity |
4 DigitalOceanUp 3 from the last close 36 | Not named by ChatGPT | #552Down 4 from the last close | #552Down 2 from the last close | #738No change from the last close |
5 Oracle Cloud Infrastructure (OCI)Down 1 from the last close 31 | Not named by ChatGPT | #461Down 3 from the last close | #461Down 1 from the last close | Not named by Perplexity |
6 IBM CloudDown 1 from the last close 29 | Not named by ChatGPT | #738Down 6 from the last close | #644Down 3 from the last close | #832Down 3 from the last close |
7 Alibaba CloudDown 1 from the last close 28 | Not named by ChatGPT | #1023Down 9 from the last close | #738Down 4 from the last close | #552Up 1 from the last close |
8 Amazon Web ServicesNew entry at the last close 25 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #1100New entry at the last close |
9 Google Cloud PlatformNew entry at the last close 18 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #372New entry at the last close |
10 Oracle Cloud InfrastructureNew entry at the last close 15 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #461New entry at the last close |
11 VultrDown 3 from the last close 15 | Not named by ChatGPT | #832Down 7 from the last close | #927Down 6 from the last close | Not named by Perplexity |
12 HetznerDown 2 from the last close 13 | Not named by ChatGPT | #927Down 8 from the last close | #1023Down 7 from the last close | Not named by Perplexity |
13 Linode (Akamai)New entry at the last close 11 | Not named by ChatGPT | #644New entry at the last close | Not named by Gemini | Not named by Perplexity |
14 VMware CloudNew entry at the last close 11 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #644New entry at the last close |
15 Linode (Akamai Connected Cloud)New entry at the last close 8 | Not named by ChatGPT | Not named by Claude | #832New entry at the last close | Not named by Perplexity |
16 RackspaceNew entry at the last close 7 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #927New entry at the last close |
17 Atlantic.NetNew entry at the last close 6 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #1023New entry at the last close |
18 CloudSigmaNew entry at the last close 5 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #1120New entry at the last close |
19 GcoreNew entry at the last close 4 | Not named by ChatGPT | Not named by Claude | Not named by Gemini | #1217New entry at the last close |
Understand the chart.
Full glossaryThe record so far.
Consensus rank · top 5| Brand | Jul 6, 2026 | Aug 10, 2026 |
|---|---|---|
| Microsoft Azure | #2 | #1 |
| Amazon Web Services (AWS) | #1 | #2 |
| Google Cloud Platform (GCP) | #3 | #3 |
| DigitalOcean | #7 | #4 |
| Oracle Cloud Infrastructure (OCI) | #4 | #5 |
The receipts.
Recorded 2026-08-10 · 4 model answersThe unedited answers this ranking is scored from. We record what each model said, word for word. Nothing summarized, nothing editorialized.
ChatGPT11 sources
ChatGPT · Recorded 2026-08-10
Assuming a U.S.-based buyer choosing a general-purpose production cloud (not a single-purpose GPU host or CDN), my genuine default recommendation is AWS; the top three are all credible, but the rest are more workload-specific. AWS, Microsoft, and Google remain the clear market leaders in cloud infrastructure, with AWS still leading and Azure/GCP the strongest alternatives.
1. Amazon Web Services (AWS) — Choose AWS for the strongest all-around default: it has the broadest mature infrastructure/service ecosystem, the deepest operational talent pool, and a very large global footprint (39 regions and 123 Availability Zones).
2. Microsoft Azure — Choose Azure first instead when your company is heavily committed to Microsoft identity, Windows, SQL Server, Microsoft 365, or enterprise agreements, because the integration and commercial fit can outweigh AWS’s broader platform maturity.
3. Google Cloud Platform (GCP) — Choose GCP when data platforms, Kubernetes-centric engineering, and AI-oriented workloads are central to the product, while accepting a somewhat smaller enterprise-services ecosystem than AWS or Azure; it currently offers 43 regions and 130 zones.
4. Oracle Cloud Infrastructure (OCI) — Choose OCI when Oracle databases or enterprise applications are material to the estate, or when its compute/networking economics and cross-cloud Oracle offerings produce a clearly better total-cost case.
5. DigitalOcean — Choose DigitalOcean for small-to-mid-sized teams that value a much simpler developer experience and managed Kubernetes over the enormous service catalogs and governance depth of the hyperscalers.
6. Cloudflare — Choose Cloudflare as a complementary infrastructure layer—or as the primary platform for edge-first/serverless applications—when low-latency global delivery, security, and lightweight workloads matter more than conventional VM-heavy infrastructure.
7. Vultr — Choose Vultr for straightforward globally distributed VMs, bare metal, or GPU capacity when you want simpler operations and pricing than a hyperscaler, but do not need a vast managed-services portfolio.
8. Hetzner Cloud — Choose Hetzner when cost efficiency is the overriding concern and its relatively limited location/service footprint fits your users, especially for Linux-centric workloads in Europe or selected U.S. locations.
9. IBM Cloud — Choose IBM Cloud primarily for organizations with IBM-centric hybrid-cloud, regulated-industry, or specialized infrastructure needs, rather than as the default greenfield application platform.
10. Alibaba Cloud — Choose Alibaba Cloud chiefly when China is a meaningful deployment market, since its regional infrastructure and service choices are most compelling in that context rather than for a U.S.-centric build.
Bottom line: pick AWS unless you have a decisive reason to pick Azure (Microsoft estate) or GCP (data/AI/Kubernetes orientation). Use OCI for Oracle-heavy or unusually price-sensitive enterprise workloads; use DigitalOcean, Vultr, or Hetzner when simplicity and infrastructure cost matter more than maximum platform breadth; and treat Cloudflare as an excellent edge layer, not a universal replacement for a hyperscaler.
Clauderaw answer
Claude · Recorded 2026-08-10
Here's a genuine ranked recommendation for cloud infrastructure providers, based on overall capability, ecosystem maturity, and value across most use cases:
1. Amazon Web Services (AWS) – The most mature and comprehensive platform with the largest service catalog, biggest talent pool, and best track record for enterprise-scale reliability, making it the safest default choice for most workloads.
2. Microsoft Azure – The strongest choice if you're already invested in the Microsoft ecosystem (Windows Server, Active Directory, Office 365), with excellent hybrid-cloud tooling and strong enterprise/compliance support.
3. Google Cloud Platform (GCP) – Best-in-class for data analytics, machine learning, and Kubernetes-native workloads since Google invented Kubernetes and has deep expertise in large-scale distributed systems.
4. Oracle Cloud Infrastructure (OCI) – A strong pick if you run Oracle databases or need high-performance bare-metal compute at often lower prices than the big three.
5. DigitalOcean – Great for startups and small-to-mid teams who want AWS-like capability without the complexity or confusing pricing, with a very developer-friendly experience.
6. Linode (Akamai) – Similar to DigitalOcean in simplicity and affordability, now backed by Akamai's global CDN/edge network for better performance at the edge.
7. IBM Cloud – Worth considering for heavily regulated industries (finance, healthcare, government) needing IBM's legacy enterprise integration and specialized compliance offerings.
8. Vultr – A solid budget-friendly VPS option with a large number of global data centers, good for simple compute-heavy workloads without enterprise bells and whistles.
9. Hetzner – Extremely cost-effective, especially popular in Europe, ideal if your priority is raw price-performance over having a huge managed-service ecosystem.
10. Alibaba Cloud – The strongest choice if your primary customer base or infrastructure needs are concentrated in China or the broader Asia-Pacific region.
Bottom line: For most businesses, AWS is the safest all-around choice, Azure is best if you're Microsoft-centric, and GCP excels if data/AI is your core focus. Smaller teams or startups on tighter budgets should strongly consider DigitalOcean, Linode, or Hetzner instead of overpaying for enterprise features they won't use.
Geminiraw answer
Gemini · Recorded 2026-08-10
1. Amazon Web Services (AWS): The clear industry leader with the deepest feature set, widest global reach, and the most mature ecosystem. 2. Microsoft Azure: The best choice for enterprises heavily invested in the Microsoft ecosystem with excellent hybrid cloud and enterprise identity capabilities. 3. Google Cloud Platform (GCP): Highly recommended for organizations prioritizing advanced data analytics, machine learning, and Kubernetes native workloads. 4. Oracle Cloud Infrastructure (OCI): A strong contender for high-performance computing, enterprise database workloads, and cost-effective bandwidth. 5. DigitalOcean: The top recommendation for startups and individual developers needing highly intuitive, developer-friendly compute instances and predictable pricing. 6. IBM Cloud: Recommended for highly regulated industries requiring strong enterprise compliance, bare-metal servers, and specialized legacy migrations. 7. Alibaba Cloud: The best option for businesses targeting the Asian market or requiring massive scale e-commerce infrastructure. 8. Linode (Akamai Connected Cloud): Great for developers looking for predictable pricing, excellent support, and integrated edge computing capabilities. 9. Vultr: A strong alternative for budget-conscious users needing fast, scalable SSD virtual private servers with a vast number of global data center locations. 10. Hetzner: Highly recommended for users looking for incredibly cost-effective bare metal and cloud servers primarily based in Europe.
Perplexity10 sources
Perplexity · Recorded 2026-08-10
1. Amazon Web Services (AWS) — The strongest default recommendation because it has the broadest service portfolio and the largest market share, making it the safest choice for general-purpose infrastructure. [1][4] 2. Microsoft Azure — The best choice if your environment is already Microsoft-centric, since it is especially strong for developer solutions, Microsoft integration, and hybrid cloud setups. [1][7] 3. Google Cloud Platform (GCP) — A top pick for teams that prioritize data analytics and AI workloads, with strong infrastructure credibility and a reputation for advanced cloud computing. [1][7] 4. Oracle Cloud Infrastructure (OCI) — A strong option when data management, Oracle workloads, or enterprise database performance matter most. [1] 5. Alibaba Cloud — Best suited for organizations with major Asia-Pacific exposure or elastic computing needs, but generally less universal than the top three. [1] 6. VMware Cloud — A practical choice for multi-cloud and private/hybrid infrastructure strategies, especially where existing VMware estates need continuity. [1] 7. DigitalOcean — A good fit for simpler web application infrastructure and smaller teams that want ease of use over deep enterprise breadth. [1][2] 8. IBM Cloud — Worth considering for enterprise or regulated environments, especially where legacy enterprise tooling and hybrid approaches matter. [1] 9. Rackspace — Useful when you want managed cloud optimization and support rather than building and operating everything yourself. [1] 10. Atlantic.Net — A niche but credible choice for security- and compliance-focused infrastructure needs. [1] 11. CloudSigma — A specialized option for flexible cloud hosting, but with less mainstream momentum than the major providers. [1] 12. Gcore — Worth a look if you want an infrastructure provider that some 2026 rankings place highly, but it is less established globally than AWS, Azure, or GCP. [4]
My genuine buyer recommendation: AWS for most buyers, Azure if you are deeply Microsoft-based, and GCP if your infrastructure strategy is centered on data and AI. [1][7]
How this ranking is measured1,650 queries · 4 models · updated aug 10, 2026Live data
This is the public record for Cloud Infrastructure Providers: the same questions, every model, every close. We ask each model the real questions buyers ask in this category and record which brands it recommends and in what order. A brand recommended at position i scores 100 × 0.85^(i−1) for that model (#1 = 100, #2 = 85, #3 = 72, …); unmentioned brands score 0.
Each model is ranked independently, so the columns disagree when the models disagree. The consensus score is the mean across the 4 models recorded at this close, and movement compares against the previous close.
We report what the models say. We don’t editorialize, and brands can’t pay to change their position.
This ranking is live: the numbers come from recorded model answers captured through the official model APIs, scored with the published formula above. The raw answers are on this page under “The receipts.”
- What we measure
- We measure on the official model APIs: the same question, the same settings, the same week, for every brand. Web search is on, so the models can draw on what is live on the web. Nothing is personalized to a user, which is what makes the columns comparable.
- What we don’t
- The consumer apps are a different surface. What a person sees inside a chat app can carry memory, personalization, and live experiments on top of the same model, so its answers can differ from the API’s. We do not measure that surface yet. True browser listings, recorded from the consumer apps, arrive with WDIR Ranked, the Pro product. WDIR Ranked · Coming soon
Updated Aug 10, 2026 · week of 2026-08-10
Read the Best Cloud Infrastructure Providers guide.
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