Tensordyne GenAI Token Economics Calculator
Together with Tensordyne, Klarkode developed an interactive tokenomics calculator that enables users to analyze the cost and energy aspects of large generative AI models. The application makes it possible to dynamically simulate key parameters such as hardware, batch sizes and model architecture.
Results speak Klar
Interactive calculator for token costs & energy consumption
+10
Customizable parameters
in Webflow CMS which can be maintained by the Tensordyne team.
+25k
Lines of code in Webflow
as well as AI-based testing process to ensure the quality of results.
1
tool for Tensordyne (Webflow)
Complete integration into Tensordyne's existing Webflow setup - no extra onboarding costs
Generative AI models require enormous computing power — this creates costs, energy consumption and infrastructural complexity. The so-called Tokenomics Describe exactly these economic aspects of token generation. While many providers try to offer tokens as cheaply as possible, there is a lack of transparency as to how these prices come about. Tensordyne wanted to create a well-founded, customizable calculation basis — both internally and externally.
Interactive Tokenomics Calculator
Browser-based tool for simulating inference costs, energy requirements and hardware usage — data-based and customizable.
„Klarkode hat ein hoch technisches Thema in ein intuitives, fundiertes Tool verwandelt und dabei unsere Überwartungen übertroffen. Ein echter Mehrwert für uns intern und unsere Kunden."
Configurable model & hardware parameters
Users of Tensordyne can directly influence assumptions such as token length, storage type, batch size and quantization and edit them in Webflow CMS. Everything in one tool.
Visualized infrastructure requirements
The calculator immediately shows how technical decisions affect infrastructure requirements, required racks and power consumption — easy to understand and visually presented.
Klarkode developed a browser-based application in Webflow with clear user guidance, interactive visualization and transparent documentation of all assumptions. Users can adjust parameters such as quantization, token length or storage model themselves and thus compare the effects on costs, power consumption and infrastructure requirements. The calculation is based on publicly available data and internal estimates from Tensordyne.
See it for yourself
Don’t take our word for it. Click through it and experience the power of a custom, yet agile build. See link below.
