You’ll likely find Instant Vertex familiar, as it follows a process similar to
Instant BQML. It simplifies the deployment of end-to-end custom machine learning models while offering a broader toolkit of Google Cloud services for AI/ML, creating a more comprehensive and flexible platform experience and narrative.
When introducing this solution to customers, we recommend starting with the solution that best aligns with their specific needs and complexity of their use case:
either Instant BQML or Instant Vertex to keep the conversation streamlined. For the longer term, presenting the alternative as a follow-up can be a strong strategy to expand their capabilities.
Please note that the cost of Instant Vertex is typically higher than Instant BQML by default, though costs can be managed and adjusted based on client specifications and resource needs. For a detailed cost comparison or to discuss cost optimization strategies, feel free to reach out to our support channels.