You are a machine learning engineer working for an online grocery store, which uses a custom ML model to recommend recipes to users upon their arrival at the website. To optimize costs, you initially deployed this model on a Vertex AI endpoint using a single machine with 8 vCPUs and no accelerators, based on the queries per second (QPS) the model can handle. With an upcoming holiday season, you expect traffic to increase four times the usual daily amount. You need to ensure that the model can scale efficiently to meet the increased demand without significantly increasing operational costs. What should you do?