inference speed

The Key To Unleashing AI's Potential

When determining an inference strategy for a given application, business and technology leaders need to ensure it can achieve the necessary quality and scale while still maintaining a fast enough pace. 

In this paper, we look deeper into each of these factors and provide a clear set of questions leaders can pose to their teams and partners to guide them to the best strategy. 


Get the latest Groq inference insights.

In our latest white paper, Inference Speed Is the Key to Unleashing AI’s Potential, we share more on:

  • The Need for Speed: How best to measure the speed of an AI inference workload, with metrics that address how fast an application provides a complete answer
  • The Need for Speed & Quality: The two biggest factors contributing to a model’s quality – model size (number of parameters) and context length (maximum size of the combined input and output)
  • The Need for Speed & Scale: An AI solution has to perform as fast when it is fully ramped up as when it has just a few users – we discuss how measuring this is possible
  • Cost, questions to ask your team and partners, & more!