Show HN: Infrastructure Planning Software (github.com)

SlickToken, a newly launched behavioral simulator for large language model (LLM) inference infrastructure, has been introduced to aid organizations in capacity planning for AI workloads. The software allows users to simulate various scenarios, such as determining the optimal GPU fleet for expected traffic, figuring out scaling needs, and calculating costs for complex, multi-step AI workflows. Notably, SlickToken requires no live data, maintains data privacy by ensuring no information leaves the user’s machine, and operates offline after installation. This tool is significant for the AI/ML community as it addresses the often complex and expensive decisions involved in deploying AI infrastructure. By providing a risk-free simulation environment, it empowers organizations to optimize hardware investments and enhance operational efficiency without upfront costs or reliance on live data. Available for free until July 2027, SlickToken promises to be a valuable resource for developers and organizations looking to strategically plan their AI infrastructure without the immediate financial burden.