Service quotas on Sagemaker Jumpstart endpoints?

Hello,

Few suggestions that may help with deploying SageMaker Jumpstart models:

• Some of the more popular models do reach capacity limits temporarily, so trying again later may work. You could also try less commonly used models that may have availability.
• Upgrading your support plan would not affect provisioning times - the model availability depends more on overall usage and quotas for that specific model.
• You could consider deploying the model to your own infrastructure using techniques like model packaging. This avoids SageMaker's shared capacity but requires managing the infrastructure yourself.
• Reach out to AWS Support - they may be able to check quota limits and provisioning queues for specific models. Sometimes a limit increase just requires a request if the use case merits it.
• As an alternative, you could look at deploying a model using Amazon SageMaker Neo or AWS Lambda. These have their own performance and cost tradeoffs to consider.
• I hope these suggestions help provide some workarounds until model availability improves. SageMaker Jumpstart can be very useful once a model is deployed

Thanks

Abhinav