Companies
Company Intelligence Database · Updated Weekly
Top AI Infrastructure Companies by Cost Efficiency
This comparison ranks AI Infrastructure companies by cost efficiency.
Build 2026-02-14T08-30-40-744Z
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Currency: USD (M)
Total Valuation / Market Cap
$6.84T
Total 2025 Revenue (Est.)
$858.50B
Avg Revenue
$171.70B
80.0% profitableMarket Snapshot
Top AI Infrastructure companies ranked by cost efficiency.
Top AI Infrastructure Companies by Cost Efficiency currently highlights 5 tracked companies. The top entities by this view include CoreWeave, Oracle, Amazon.
Composition profile: Public (5) by company type and North America (4), Asia-Pacific (1) by headquarters region. Rankings are recalculated on each weekly data refresh.
Data combines public disclosures, normalized units, and rule-based estimates where missing.
Company Table
| # | Company | Type | HQ / Region | Founders | Founded | Main AI Focus | Flagship Products | 2025 Revenue (Est.) | Valuation / Market Cap | Employees | Total Funding | Profitability | Notes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
CoreWeave
Founded in 2017, CoreWeave operates from Roseland, US (North America) with a primary focus on ai infrastructure. Its …
|
Public | Roseland, US (North America) | Michael Intrator | 2017 | AI Infrastructure | GPU Cloud | $2.00B | $35.00B | 2,000 | $12.00B | Expansion Phase | GPU cloud specialist |
| 2 |
Oracle
Oracle is a ai infrastructure company founded in 1977 and headquartered in Austin, US (North America). Core products …
|
Public | Austin, US (North America) | Larry Ellison | 1977 | AI Infrastructure | OCI AI | $58.00B | $480.00B | 164,000 | $0.0M | Profitable | Enterprise infrastructure moat |
| 3 |
Amazon
Founded in 1994, Amazon operates from Seattle, US (North America) with a primary focus on ai infrastructure. Its best…
|
Public | Seattle, US (North America) | Jeff Bezos | 1994 | AI Infrastructure | Bedrock, SageMaker | $650.00B | $2.30T | 1,520,000 | $0.0M | Profitable | Cloud and commerce AI flywheel |
| 4 |
Alibaba Cloud
Founded in 2009, Alibaba Cloud operates from Hangzhou, CN (Asia-Pacific) with a primary focus on ai infrastructure. I…
|
Public | Hangzhou, CN (Asia-Pacific) | Alibaba Group | 2009 | AI Infrastructure | Qwen, Model Studio | $18.00B | $230.00B | 198,000 | $0.0M | Profitable | Cloud + commerce model stack |
| 5 |
NVIDIA
Founded in 1993, NVIDIA operates from Santa Clara, US (North America) with a primary focus on ai hardware. Its best-k…
|
Public | Santa Clara, US (North America) | Jensen Huang; Chris Malachowsky; Curtis Priem | 1993 | AI Hardware | H100, Blackwell, CUDA | $130.50B | $3.80T | 36,000 | $0.0M | Profitable | Core AI compute provider |
* Estimated via configured P/S ratio rules when primary values are missing.
Company Profile
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Related Top Pages
- Top AI Companies (Hub) /top/ai-companies/
- Top AI Companies Database /top/ai-companies/
- Top AI Companies by Cost Efficiency /top/ai-companies/by-cost/
- Top AI Companies by Employee Count /top/ai-companies/by-employees/
- Top AI Companies by Founded Year /top/ai-companies/by-founded/
- Top AI Companies by Total Funding /top/ai-companies/by-funding/
- Top AI Companies by Growth /top/ai-companies/by-growth/
Related By Pages
- Companies by Ai Focus: AI Applications /companies-by/ai-focus/ai-applications/
- Top AI Applications Companies by Cost Efficiency /companies-by/ai-focus/ai-applications/top-cost/
- Top AI Applications Companies by Total Funding /companies-by/ai-focus/ai-applications/top-funding/
- Top AI Applications Companies by Growth /companies-by/ai-focus/ai-applications/top-growth/
- Top AI Applications Companies by Innovation /companies-by/ai-focus/ai-applications/top-innovation/
- Top AI Applications Companies by Market Cap /companies-by/ai-focus/ai-applications/top-market-cap/
FAQ
How are estimates calculated?
Missing revenue or valuation values are imputed using focus-specific P/S ratios.
How often is this updated?
The dataset and generated pages are refreshed weekly through CI.
Can I reuse this template?
Yes. Keep the data contract stable and regenerate specs and pages.