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Whitepaper

Scaling Generative AI Requires Specific Platform Engineering Considerations

As enterprises adopt platform engineering and invest in generative AI (GenAI), it's crucial to address the unique requirements for scaling GenAI. This white paper highlights the importance of tailored platform engineering to manage the complexities of GenAI initiatives, emphasizing the need for optimized infrastructure, data governance, and model observability.

Platform engineering must evolve to support GenAI at scale, ensuring efficient resource utilization and adherence to ethical standards. By integrating best practices and critical requirements, enterprises can enhance their competitive posture and accelerate their GenAI initiatives.

Key Takeaways:

  • Optimized infrastructure for GenAI workloads
  • Edge-based data storage for governance and privacy
  • Built-in observability for responsible AI
  • Automated provisioning and self-service capabilities