LLM Capacity Simulator: TPM vs RPM

LLM Capacity Simulator: TPM vs RPM Capacity Manager Simulate requests to see how TPM and RPM limits act as a dual-throttle. LLM Capacity Simulator: TPM vs RPM lets you explore this hands-on instead of only reading about it.

Technical details on how AIP manages various LLM providers, compute costs, and rate limits. It focuses on Model-Agnosticism, Compute-seconds, Tokens Per Minute (TPM), Requests Per Minute (RPM), Proxy Endpoints from the “LLM Infrastructure and Capacity Management” section.

The “Tokens per Request: 1500”, “Auto-Fire Rate: Off” sliders change the key inputs; the “Send Single Request” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

Palantir's Artificial Intelligence Platform (AIP) provides a secure and scalable framework for integrating Large Language Models (LLMs) with organizational data and operations. This course explores the core components o… This demo is the interactive piece for the “LLM Infrastructure and Capacity Management” section. Open the full AIP overview course wiki at https://www.getlykke.com/explore/public/aip-overview-00e99a23-f139-44ca-9f2b-a070b37d2252 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Model-Agnosticism, Compute-seconds, Tokens Per Minute (TPM), Requests Per Minute (RPM), Proxy Endpoints — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on AIP overview alone.