Deploying 🤗 ViT on Vertex AI
What Happened
Deploying 🤗 ViT on Vertex AI
Fordel's Take
Deploying ViT on Vertex AI isn't revolutionary; it's just operational plumbing. It's the standard way to get established models into production without building an entire MLOps stack from scratch. The real challenge isn't the deployment itself—which Google handles fine—it's managing the data drift and ensuring the inference latency stays acceptable under real production load.
We're just moving the heavy lifting to the cloud. It's convenient, sure, but it doesn't magically solve the engineering debt you already have. If your deployment fails, you still need solid monitoring, not just a nice endpoint.
What To Do
Implement robust monitoring and latency checks immediately after deployment.
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