The Inference Shift

1. 1Assess current compute infrastructure for potential bottlenecks
2. 2Evaluate the role of speed in existing inference workflows
3. 3Research alternative metrics for optimizing agentic inference, such as throughput or latency
4. 4Explore new architectures for compute infrastructure that prioritize these alternative metrics
5. 5Develop strategies for integrating agentic inference into existing ML pipelines

Data scientists, ML engineers, and DevOps teams will benefit from understanding the implications of agentic inference on compute infrastructure and adjusting their strategies accordingly

💡 Agentic inference will prioritize different metrics than human-centric inference, making speed less relevant

🤖 Agentic inference is coming! Speed won't matter when humans aren't involved. What does this mean for compute infrastructure? 🚀