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You are here: Home / How to Make Money / Microsoft Turns Away AI Training Workloads – Inferencing Makes Better Money

Microsoft Turns Away AI Training Workloads – Inferencing Makes Better Money

Dated: October 31, 2024

Microsoft has recently announced a strategic shift in its approach to artificial intelligence (AI) services, opting to prioritize inferencing over training workloads. This decision, revealed during the company’s Q1 2025 earnings call, is part of a broader strategy to enhance profitability and streamline operations in the rapidly evolving AI landscape.

Key Takeaways

  • Microsoft is focusing on inferencing rather than renting GPUs for AI training.
  • The company reported a quarterly revenue of $65.6 billion, with a net income of $24.7 billion.
  • Microsoft’s Intelligent Cloud segment saw a 20% year-on-year revenue growth.
  • The AI business is projected to reach a $10 billion annual run rate next quarter.

Strategic Shift Towards Inferencing

During the earnings call, CEO Satya Nadella emphasized that Microsoft is not interested in becoming a "rent-a-GPU shop." Instead, the company is concentrating on the high demand for inferencing, which powers various AI services, including GitHub Copilot and Microsoft 365 Copilot. This shift allows Microsoft to focus on enterprise needs and its own product offerings, ensuring a more stable and superior revenue stream.

Nadella stated, "We’re not actually selling raw GPUs for other people to train. In fact, that’s sort of a business we turn away because we have so much demand on inference."

Financial Performance Highlights

Microsoft’s financial performance for Q1 2025 showcased significant growth across various segments:

  • Total Revenue: $65.6 billion (up 16% year-on-year)
  • Net Income: $24.7 billion (up 11% year-on-year)
  • Intelligent Cloud Revenue: $24.1 billion (up 20% year-on-year)
  • Azure Growth: 33% year-on-year

The company also reported a notable increase in the number of high-value contracts, with a rise in $10 million-plus and $100 million-plus contracts for Azure and Microsoft 365.

Challenges and Cost Management

Despite the positive revenue growth, Microsoft faced challenges in managing costs, which rose by 12% during the quarter. This increase was partly attributed to the integration of Activision staff following the acquisition. The overall headcount rose by 2%, indicating a strategic investment in talent to support growth.

Future Outlook

Looking ahead, Microsoft remains optimistic about its growth trajectory. The company has a robust pipeline of future revenue, with $259 billion already committed by customers. Azure is expected to continue its strong growth, projected at 31-32%, while the Productivity and Business Processes segment is anticipated to grow by 10-11%.

However, Microsoft did caution about potential dips in revenue from on-prem server products and Microsoft 365, attributing these fluctuations to cyclical trends rather than a decline in demand.

Conclusion

Microsoft’s decision to turn away from AI training workloads in favor of inferencing reflects a strategic pivot aimed at maximizing profitability and meeting enterprise demands. As the company continues to invest heavily in AI infrastructure, it is well-positioned to capitalize on the growing market for AI services, ensuring sustained growth and innovation in the years to come.

Sources

  • Microsoft: We’re no rent-a-GPU shop. We make money with AI • The Register, The Register.
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