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The AI in Business Podcast cover image

[Beyond GPU] Solutions for AI Hardware Challenges from Infrastructure to Deployment - with Mark Heaps of Groq

The AI in Business Podcast

NOTE

Separating Model Development and Deployment and the Advantages of a Deterministic Approach

Separating model development and deployment into two stages allows for better estimation of performance and resource provisioning. Current approaches often result in uncertainties and cost overruns due to inaccurate predictions of cloud usage. A deterministic approach provides precise knowledge of model performance and compute resource usage, minimizing the risk of over-provisioning and cost escalation. Legacy systems often lead to inaccurate performance estimates, requiring additional tuning and resulting in increased development costs. Embracing a first principles thinking is crucial for redefining the approach to system setup.

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