short fun with our project
What do you like best about the product?
Scalability – It auto-scales beautifully, which means workloads can grow without worrying about provisioning servers
Self-serve ML/AI infrastructure – Teams love how Cortex Cloud makes it easy to deploy machine learning models without needing to manage infrastructure manually.
Self-serve ML/AI infrastructure – Teams love how Cortex Cloud makes it easy to deploy machine learning models without needing to manage infrastructure manually.
What do you dislike about the product?
Debugging deployments can be tricky
When something goes wrong, logs and debugging tools can be a bit raw, especially if you’re new to the platform. Some users feel it could benefit from deeper observability or integrated tracing.
When something goes wrong, logs and debugging tools can be a bit raw, especially if you’re new to the platform. Some users feel it could benefit from deeper observability or integrated tracing.
What problems is the product solving and how is that benefiting you?
Teams use Cortex to deploy ML models as REST APIs that respond to live requests—perfect for use cases like:
Recommendation engines
Fraud detection
Personalization
NLP/chatbots
Computer vision applications
Recommendation engines
Fraud detection
Personalization
NLP/chatbots
Computer vision applications