AWS Machine Learning Blog

NOVEMBER 30, 2023

Then enter a name for your space and choose Create space : On the Code Editor Space details page, choose your underlying configuration, including: The underlying Amazon Elastic Compute Cloud (Amazon EC2) instance type. An Amazon Elastic Block Storage (Amazon EBS) volume size (this can range from 5GB to 16TB).

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AWS Machine Learning Blog

DECEMBER 14, 2023

When a Space is created, it is equipped with an Amazon Elastic Block Store (Amazon EBS) volume , which is used to store users’ files, data, caches, and other artifacts. The EBS volume ensures that user files, data, cache, and session states are consistently restored whenever the Space is restarted.

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IBM Journey to AI blog

OCTOBER 4, 2023

In fact, according in an IDC DataSphere study, IDC estimated that 10,628 exabytes (EB) of data was determined to be useful if analyzed, while only 5,063 exabytes (EB) of data (47.6%) was analyzed in 2022.

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AWS Machine Learning Blog

APRIL 19, 2024

Beyond creating differentiated AI tools, we have established an integrated platform that merges AI software, cloud-based data, scalable computation infrastructure, and high-throughput chemistry and biology capabilities. discovery: do-eks-yaml-karpenter iam: withOIDC: true addons: - name: aws-ebs-csi-driver version: v1.26.0-eksbuild.1

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AWS Machine Learning Blog

APRIL 23, 2024

This will run them on the instances used by your SageMaker Studio IDEs instead of provisioning cloud resources. Although certain capabilities such as distributed training are only available in the cloud, Local Mode removes the need to switch contexts for quick iterations. ipynb notebook in blog/pytorch_cnn_cifar10. Python 3.10

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AWS Machine Learning Blog

JANUARY 24, 2024

Amazon Bedrock is a fully managed cloud service that enables development teams to build and scale generative AI applications quickly while helping keep your data and applications secure and private. In the Amazon Elastic Compute Cloud (Amazon EC2) console, choose Load balancers in the navigation pane and find the load balancer.

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AWS Machine Learning Blog

APRIL 17, 2024

This post walks you through the Open Source Observability pattern for AWS Inferentia , which shows you how to monitor the performance of ML chips, used in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster, with data plane nodes based on Amazon Elastic Compute Cloud (Amazon EC2) instances of type Inf1 and Inf2.

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AWS Machine Learning Blog

APRIL 16, 2024

An AWS Glue connection is an AWS Glue Data Catalog object that stores essential data such as login credentials, URI strings, and virtual private cloud (VPC) information for specific data stores. It’s recommended to create a new JupyterLab Space with at least 75 GB of Amazon Elastic Block Store (Amazon EBS) storage for a 7B parameter model.

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AWS Machine Learning Blog

JUNE 6, 2023

This post further walks through a step-by-step implementation of fine-tuning a RoBERTa (Robustly Optimized BERT Pretraining Approach) model for sentiment analysis using AWS Deep Learning AMIs (AWS DLAMI) and AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2 p4d.24xlarge) torch.compile + bf16 + fused AdamW.

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AWS Machine Learning Blog

JULY 26, 2023

In this post, we show how you can run Stable Diffusion models and achieve high performance at the lowest cost in Amazon Elastic Compute Cloud (Amazon EC2) using Amazon EC2 Inf2 instances powered by AWS Inferentia2. This parameter is applicable to instances supporting the Amazon Elastic Block Store (Amazon EBS) volume attachment.

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AWS Machine Learning Blog

MAY 30, 2023

As a general guidance, if your workload does require an NVIDIA GPU, we found customers gain significant cost savings with two Amazon Elastic Compute Cloud (Amazon EC2) instance types: ml.g4dn and ml.g5. If your training requires GPUs instances, we recommend referring to the video How to select Amazon EC2 GPU instances for deep learning.

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AWS Machine Learning Blog

APRIL 17, 2023

The model size can be reduced until the student model can fit on an edge device or smaller cloud-based hardware, but accuracy decreases as the model is reduced. The VolumeSizeInGB parameter is applicable to GPU instances supporting the EBS volume attachment. You can enable this configuration to deploy LLMs on SageMaker.

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AWS Machine Learning Blog

FEBRUARY 27, 2023

In this blog we show you how to automatically tune a ML model with Amazon SageMaker AMT for both accuracy and fairness objectives by creating a single combined metric. Amazon SageMaker Automatic Tuning instantiates multiple SageMaker training jobs with their associated EC2 instances and EBS volumes. from the baseline model.

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AWS Machine Learning Blog

MAY 4, 2023

You can use a SageMaker notebook or an Amazon Elastic Compute Cloud (Amazon EC2) instance to compile the model. The container downloads the model into the /tmp space because SageMaker maps the /tmp to Amazon Elastic Block Store (Amazon EBS). Check the list of supported models to ensure the model is supported on AWS Inferentia2.

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AWS Machine Learning Blog

MAY 30, 2023

SageMaker real-time inference When you create an endpoint, SageMaker attaches an Amazon Elastic Block Store (Amazon EBS) storage volume to the Amazon Elastic Compute Cloud (Amazon EC2) instance that hosts the endpoint. This is true for all instance types that don’t come with a SSD storage.

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AWS Machine Learning Blog

JUNE 29, 2023

Hugging Face and the authors of the paper mentioned have published a detailed blog post that covers the fundamentals and integrations with the Transformers and PEFT libraries. He loves to share his knowledge on AI and NLP at various meetups such as Data Science on AWS, and on his technical blog.

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AWS Machine Learning Blog

JANUARY 9, 2023

Customers using self-managed ML solutions on Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Kubernetes Service (Amazon EKS) need to build operational tooling themselves. Customers using SageMaker incur significantly less TCO.

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AWS Machine Learning Blog

JUNE 5, 2023

SageMaker takes care of starting and managing all the required Amazon Elastic Compute Cloud (Amazon EC2) instances for you. He loves to share his knowledge on AI and NLP at various meetups such as Data Science on AWS, and on his technical blog. To create a SageMaker training job, you will need a Hugging Face estimator.

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AWS Machine Learning Blog

AUGUST 8, 2023

If the model has not been loaded, it downloads the model artifact from Amazon Simple Storage Service (Amazon S3) to that instance’s Amazon Elastic Block Storage volume (Amazon EBS). It loads the model to the container’s memory on the GPU-accelerated compute instance. He’s passionate about distributed Deep Learning Systems.

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