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# ブログ、サンプルノートブック、および追加のリソース
<a name="deploy-model-blogs"></a>

次のセクションには、Amazon SageMaker AI の詳細に関する例と追加のリソースが含まれています。

## ブログと導入事例
<a name="deploy-model-blogs-table"></a>

SageMaker AI Inference のさまざまな機能に関するブログと導入事例のリストについては、次の表を参照してください。ブログを使用すると、ユースケースに適したソリューションをまとめるのに役立ちます。


| 機能 | リソース | 
| --- | --- | 
| リアルタイム推論 |  + 「[Getting started with deploying real-time models on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/getting-started-with-deploying-real-time-models-on-amazon-sagemaker/)」<br />+ 「[Deploy BLOOM-176B and OPT-30B on Amazon SageMaker AI with large model inference Deep Learning Containers and DeepSpeed](https://aws.amazon.com/blogs/machine-learning/deploy-bloom-176b-and-opt-30b-on-amazon-sagemaker-with-large-model-inference-deep-learning-containers-and-deepspeed/)」<br />+ 「[Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/creating-a-machine-learning-powered-rest-api-with-amazon-api-gateway-mapping-templates-and-amazon-sagemaker)」  | 
| 自動スケーリング |  + 「[Configuring autoscaling inference endpoints in Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/configuring-autoscaling-inference-endpoints-in-amazon-sagemaker/)」  | 
| サーバーレス推論 |  + 「[Amazon SageMaker Serverless Inference – Machine Learning Inference without Worrying about Servers](https://aws.amazon.com/blogs/aws/amazon-sagemaker-serverless-inference-machine-learning-inference-without-worrying-about-servers/)」<br />+ 「[Host Hugging Face transformer models using Amazon SageMaker Serverless Inference](https://aws.amazon.com/blogs/machine-learning/host-hugging-face-transformer-models-using-amazon-sagemaker-serverless-inference/)」<br />+ 「[Introducing the Amazon SageMaker Serverless Inference Benchmarking Toolkit](https://aws.amazon.com/blogs/machine-learning/introducing-the-amazon-sagemaker-serverless-inference-benchmarking-toolkit/)」  | 
| 非同期推論 |  + 「[Run computer vision inference on large videos with Amazon SageMaker AI asynchronous endpoints](https://aws.amazon.com/blogs/machine-learning/run-computer-vision-inference-on-large-videos-with-amazon-sagemaker-asynchronous-endpoints/)」<br />+ [Amazon Kinesis、 AWS Glueおよび Amazon SageMaker AI を使用して予測メンテナンスソリューションを構築する](https://aws.amazon.com/blogs/machine-learning/build-a-predictive-maintenance-solution-with-amazon-kinesis-aws-glue-and-amazon-sagemaker/)<br />+ 「[Improve high-value research with Hugging Face and Amazon SageMaker Asynchronous Inference endpoints](https://aws.amazon.com/blogs/machine-learning/improve-high-value-research-with-hugging-face-and-amazon-sagemaker-asynchronous-inference-endpoints/)」  | 
| バッチ変換 |  + 「[Associating prediction results with input data using Amazon SageMaker AI Batch Transform](https://aws.amazon.com/blogs/machine-learning/associating-prediction-results-with-input-data-using-amazon-sagemaker-batch-transform/)」  | 
| マルチモデルエンドポイント |  + 「[Save on inference costs by using Amazon SageMaker AI multi-model endpoints](https://aws.amazon.com/blogs/machine-learning/save-on-inference-costs-by-using-amazon-sagemaker-multi-model-endpoints/)」<br />+ 「[Run multiple deep learning models on GPU with Amazon SageMaker AI multi-model endpoints](https://aws.amazon.com/blogs/machine-learning/run-multiple-deep-learning-models-on-gpu-with-amazon-sagemaker-multi-model-endpoints/)」<br />+ 「[How to scale machine learning inference for multi-tenant SaaS use cases](https://aws.amazon.com/blogs/machine-learning/how-to-scale-machine-learning-inference-for-multi-tenant-saas-use-cases/)」<br />+ 「[Run and optimize multi-model inference with Amazon SageMaker AI multi-model endpoints](https://aws.amazon.com/blogs/machine-learning/run-and-optimize-multi-model-inference-with-amazon-sagemaker-multi-model-endpoints/)」  | 
| シリアル推論パイプライン |  + 「[Design patterns for serial inference on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/design-patterns-for-serial-inference-on-amazon-sagemaker/)」  | 
| マルチコンテナエンドポイント |  + 「[Cost efficient ML inference with multi-framework models on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/cost-efficient-ml-inference-with-multi-framework-models-on-amazon-sagemaker/)」  | 
| モデルアンサンブルの実行 |  + 「[Run ensemble ML models on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/run-ensemble-ml-models-on-amazon-sagemaker/)」  | 
| 推論レコメンダー |  + 「[SageMaker Inference Recommender example notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-inference-recommender/inference-recommender.ipynb)」<br />+ 「[SageMaker Inference Recommender for HuggingFace BERT Sentiment Analysis example notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-inference-recommender/huggingface-inference-recommender/huggingface-inference-recommender.ipynb)」<br />+ 「[Achieve hyperscale performance for model serving using NVIDIA Triton Inference Server on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/achieve-hyperscale-performance-for-model-serving-using-nvidia-triton-inference-server-on-amazon-sagemaker/)」  | 
| 高度なモデルホスティングのブログシリーズ |  + 「[Part 1: Common design patterns for building ML application on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/model-hosting-patterns-in-amazon-sagemaker-part-1-common-design-patterns-for-building-ml-applications-on-amazon-sagemaker/)」<br />+ 「[Part 2: Getting started with deploying real time models on SageMaker AI](https://aws.amazon.com/blogs/machine-learning/part-2-model-hosting-patterns-in-amazon-sagemaker-getting-started-with-deploying-real-time-models-on-sagemaker/)」<br />+ 「[Part 3: Run and optimize multi-model inference with Amazon SageMaker AI multi-model endpoints](https://aws.amazon.com/blogs/machine-learning/part-3-model-hosting-patterns-in-amazon-sagemaker-run-and-optimize-multi-model-inference-with-amazon-sagemaker-multi-model-endpoints/)」<br />+ 「[Part 4: Design patterns for serial inference on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/part-4-model-hosting-patterns-in-amazon-sagemaker-design-patterns-for-serial-inference-on-amazon-sagemaker/)」<br />+ 「[Part 5: Cost efficient ML inference with multi-framework models on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/part-5-model-hosting-patterns-in-amazon-sagemaker-cost-efficient-ml-inference-with-multi-framework-models-on-amazon-sagemaker/)」<br />+ 「[Part 6: Best practices in testing and updating models on SageMaker AI](https://aws.amazon.com/blogs/machine-learning/part-6-model-hosting-patterns-in-amazon-sagemaker-best-practices-in-testing-and-updating-models-on-sagemaker/)」<br />+ 「[Part 7: Run ensemble ML models on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/part-7-model-hosting-patterns-in-amazon-sagemaker-run-ensemble-ml-models-on-amazon-sagemaker/)」  | 

## サンプルノートブックの例
<a name="deploy-model-blogs-nbs"></a>

SageMaker AI Inference についてさらに学ぶのに役立つサンプルノートブックについては、次の表を参照してください。


| 機能 | サンプルノートブックの例 | 
| --- | --- | 
| 推論レコメンダー |  + 「[SageMaker Inference Recommender example notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-inference-recommender/inference-recommender.ipynb)」<br />+ 「[SageMaker Inference Recommender for HuggingFace BERT Sentiment Analysis example notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-inference-recommender/huggingface-inference-recommender/huggingface-inference-recommender.ipynb)」  | 
| SageMaker AI 用大規模言語モデル (LLM) の最適化 | 「[Generative AI LLMs workshop](https://github.com/aws/amazon-sagemaker-examples/tree/main/inference/generativeai/llm-workshop)」 | 

## その他のリソース
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SageMaker AI Inference の各オプションの詳細については、次の動画をご覧ください。

[![AWS Videos](https://img.youtube.com/vi/4FqHt5bmS2o/0.jpg)](https://www.youtube.com/watch?v=4FqHt5bmS2o)