# Worker Workers are the most critical component of the Inferix network. The reward pool for Worker Nodes constitutes 75% of the Ecosystem Fund and is distributed through the BMW model. In other words, three-quarters of the 80% of the network's service revenue is allocated to Workers. To receive BMW rewards, each Worker must hold an amount of $IFX tokens at any given time. This token amount acts as a penalty fund in case the Worker fails to meet Inferix's standards. The minimum stake amount of node $$n$$ can be calculated as follows: $$ S\left(n\right) \triangleq 2 \times \mathcal{E} \times \text{IB} \left(n\right) \times P\left(n\right) $$ where $$\text{IB}\left(n\right)$$ is the benchmark value of the node (c.f.\~\cref{equ:inferix\_bench}), $$P\left(n\right)$$ is the price per IBM defined by the node provider himself and $$\mathcal{E}$$ is a constant defined by number of minutes of the Epoch period, that is $$72 \times 60 = 4320$$. For example, if a provider owns a node with 32 GB RAM, Intel:registered:Core:tm:i9 CPU, and an RTX4090 card, its computing power will be approximately 0.5 IB. To participate in the Inferix network at a service price of $2 per hour, it is needed to hold a quantity of $IFX tokens equivalent to $$0.5 \times 2 \times 4320 \div 60$$ = 72 USD. *Inferix Edge:* computers are specially designed to participate in the Inferix worker network. These machines are streamlined by removing non-essential components and focusing on enhancing the CPU, GPU, RAM, and motherboard to optimize performance for Visual Computing and federated AI tasks. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.inferix.io/inferix-whitepaper/economic-model/node-staking-and-rewards/worker.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.