AI infrastructure and compute: 48% of organizations running AI in production name a Google platform as their primary AI platform, more than twice OpenAI's share
VentureBeat Intelligence surveyed respondents at organizations with 100 or more employees in August. We asked how they choose, run and judge their AI infrastructure.
A survey by VentureBeat Intelligence reveals that 48% of organizations running AI in production use a Google platform as their primary AI platform, more than twice the share of OpenAI.
What happened
VentureBeat Intelligence conducted a survey of organizations with 100 or more employees to understand their AI infrastructure choices. The survey found that Google's platforms are the primary choice for 48% of organizations running AI in production, significantly higher than OpenAI's 22% and Microsoft Azure's 13%. The report also highlights trends in AI infrastructure spending, utilization rates, and decision-making factors.
Why it matters
The findings highlight the dominance of Google in AI infrastructure, which could influence future investments and strategies for AI development. Understanding the factors that drive platform choices, such as integration with existing systems and rigorous tracking of ROI, is crucial for businesses aiming to optimize their AI operations.
- Google's platforms are the primary choice for a majority of organizations in AI production.
- Rigorous tracking of AI infrastructure ROI is more prevalent among decision-makers.
- Underutilization of GPU resources is a common issue in AI production environments.
- Integration with existing systems is a more critical factor than cost per token in AI infrastructure decisions.
- Uptime and developer productivity are the top metrics for evaluating AI infrastructure performance.
The bigger picture
The survey results indicate that Google's integrated approach to AI models and cloud services is preferred by a significant portion of enterprises. This could drive further adoption of Google's ecosystem and influence the competitive landscape in AI infrastructure.
The survey by VentureBeat Intelligence underscores Google's strong position in AI infrastructure, with a significant majority of organizations using its platforms. The findings also highlight the importance of tracking ROI and the challenges of underutilized resources in AI production environments.
Technical details
- Gemini and Google Cloud are the primary AI platforms for 48% of organizations in production.
- GPU utilization rates are reported to be 50% or below by 80% of respondents.
- Integration with existing cloud or data stacks is a key factor in AI infrastructure selection.
- Rigorous tracking of AI infrastructure ROI is more common among final decision makers.
FAQ
What percentage of organizations use Google's platforms as their primary AI infrastructure?
48% of organizations running AI in production name a Google platform as their primary AI platform.
How does Google's share compare to OpenAI and Microsoft Azure?
Google's share is more than twice that of OpenAI (22%) and nearly four times that of Microsoft Azure (13%).
What factors influence the choice of AI infrastructure?
Integration with existing cloud or data stacks is the most significant factor, named by 40% of respondents, followed by performance and security requirements.
What is the average GPU utilization reported by AI production respondents?
80% of respondents who provided a figure reported average GPU utilization at 50% or below.
How does rigorous tracking of AI infrastructure ROI differ between decision-makers and others?
Final decision makers are nearly twice as likely to track AI infrastructure spending rigorously compared to other respondents.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by VentureBeat AI on Oct 5, 2026.
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