AI & machine learning · Skill
SageMaker Deployment Planner
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.
Open in PhởWhat the skill covers
The sections of its instructions, in order.
- 01 Workflow phases
- 02 Discovery: ask only what you need
- 03 Pathway selection
- 04 Instance selection: check quota before recommending
- 05 Style
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Frequently asked questions
What does SageMaker Deployment Planner do?
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.
Is SageMaker Deployment Planner free to use?
Yes. SageMaker Deployment Planner is published by Hugging Face under the Apache 2.0 licence, and you can use it with a free Phở account.
How do I use SageMaker Deployment Planner in Phở?
Press Open in Phở, then Try to apply it to your next message, or add the Hugging Face Hub and models set so Phở loads it whenever a request matches.
Does SageMaker Deployment Planner need other tools?
No. It works in a normal Phở chat with what you type or upload.
Copied unchanged from huggingface/skills at commit 25910b3 and credited to Hugging Face, who is not affiliated with Phở. The full instructions and licence text ship with the skill inside Phở.