AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Flipboard

MAY 29, 2025

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

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AWS Machine Learning Blog

MARCH 18, 2025

It now demands deep expertise, access to vast datasets, and the management of extensive compute clusters. To simplify this process, AWS introduced Amazon SageMaker HyperPod during AWS re:Invent 2023 , and it has emerged as a pioneering solution, revolutionizing how companies approach AI development and deployment.

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AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. Historically, natural language processing (NLP) would be a primary research and development expense.

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AWS Machine Learning Blog

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. The implementation included a provisioned three-node sharded OpenSearch Service cluster. Interested users are invited to try out FloTorch from AWS Marketplace or from GitHub.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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databricks

JUNE 12, 2025

It gives these users a single, intuitive entry point to interact with data and AI—without needing to understand clusters, queries, models, or notebooks. Databricks One is a new product experience designed specifically for business users.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%.

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AWS Machine Learning Blog

APRIL 1, 2024

Distributed model training requires a cluster of worker nodes that can scale. In this blog post, AWS collaborates with Meta’s PyTorch team to discuss how to use the PyTorch FSDP library to achieve linear scaling of deep learning models on AWS seamlessly using Amazon EKS and AWS Deep Learning Containers (DLCs).

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development. FMs are typically trained on large-scale compute clusters with hundreds or thousands of accelerators.

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AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

By early 2024, we are beginning to see the start of “Act 2,” in which many POCs are evolving into production, delivering significant business value. Introducing Amazon Elastic Kubernetes Service (Amazon EKS) in Amazon SageMaker HyperPod Recognizing these challenges, AWS launched Amazon SageMaker HyperPod last year.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

Let’s look at some examples from the current season (2023–2024) The following videos show examples of measured shots that achieved top-speed values. To process match metadata, we use an AWS Lambda function called MetaDataIngestion , while positional data is brought in using an AWS Fargate container known as MatchLink.

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AWS Machine Learning Blog

JUNE 13, 2025

Swallow training Experiment management We discuss topics relevant to machine learning (ML) researchers and engineers with experience in distributed LLM training and familiarity with cloud infrastructure and AWS services. The base infrastructure stack is available as an AWS CloudFormation template for seamless deployment and replication.

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Towards AI

JANUARY 6, 2025

Artificial intelligence has been adopted by over 72% of companies so far (McKinsey Survey 2024). Adding to the numbers, PwCs 2024 AI Jobs Barometer confirms that jobs requiring AI specialist skills have grown over 3 times faster than all other jobs. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI

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Pickl AI

DECEMBER 26, 2024

billion by the end of 2024 , reflecting a remarkable increase from $29 billion in 2022. High-Performance Computing (HPC) Clusters These clusters combine multiple GPUs or TPUs to handle extensive computations required for training large generative models. The global Generative AI market is projected to exceed $66.62

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Snorkel AI

OCTOBER 9, 2024

We are proud to announce the latest generation of enterprise readiness features for Snorkel Flow introduced in our 2024.R3 In future releases, Snorkel will provide integrations with cloud-native services like AWS Secrets Manager or equivalents on GCP and Azure. Although unavailable in 2024.R3 R3 release.

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AWS Machine Learning Blog

SEPTEMBER 19, 2024

In this post, AWS collaborates with Meta’s PyTorch team to showcase how you can use Meta’s torchtune library to fine-tune Meta Llama-like architectures while using a fully-managed environment provided by Amazon SageMaker Training. Refer to the installation instructions and PyTorch documentation to learn more about torchtune and its concepts.

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Pickl AI

MAY 15, 2024

The Insights This comprehensive guide, updated for 2024, delves into the challenges and strategies associated with scaling Data Science careers. Embrace Distributed Processing Frameworks Frameworks like Apache Spark and Spark Streaming enable distributed processing of large datasets across clusters of machines.

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

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DagsHub

APRIL 7, 2024

Cloud-agnostic and can run on any Kubernetes cluster. Integration: It can work alongside other workflow orchestration tools (Airflow cluster or AWS SageMaker Pipelines, etc.) The Metaflow stack can be easily deployed to any of the leading cloud providers or an on-premise Kubernetes cluster.

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DagsHub

APRIL 21, 2024

Best MLOps Tools & Platforms for 2024 In this section, you will learn about the top MLOps tools and platforms that are commonly used across organizations for managing machine learning pipelines. Data storage and versioning Some of the most popular data storage and versioning tools are Git and DVC.

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PyImageSearch

SEPTEMBER 30, 2024

Deployment Server Tools: Kubernetes, Docker Swarm, AWS CodeDeploy Purpose: Automates the deployment of applications to staging or production environments. Orchestration Tools: Kubernetes, Docker Swarm Purpose: Manages the deployment, scaling, and operation of application containers across clusters of hosts. What's next? Sharma, eds.,

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Pickl AI

MARCH 28, 2025

Popular cloud load balancers like AWS ELB, Google Cloud Load Balancer, and Azure Load Balancer enhance cloud performance. billion in 2024 and is expected to reach USD 24.58 Dispatcher-Based Load Balancing Cluster A dispatcher module efficiently distributes incoming requests based on server availability, workload, and capacity.

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ODSC - Open Data Science

FEBRUARY 21, 2024

Thrive in the Data Tooling Tornado Adam Breindel | Independent Consultant In this talk, Adam Breindel, a leading Apache Spark instructor and authority on neural-net fraud detection, streaming analytics and cluster management code, will help you navigate the data tooling landscape. NET, and AWS.

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. In this case, the max cluster count should also be two.

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Pickl AI

JANUARY 30, 2025

from 2024 to 2030. By clustering identical keys, the Shuffle and Sort phase minimises the complexity of downstream tasks and paves the way for more efficient data reduction. You can easily create and manage your cluster without worrying about on-premises hardware. billion in 2023 and will likely expand at a CAGR of 14.9%

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Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Also Read: Top 10 Data Science tools for 2024. Scalability: It offers scalability to handle large volumes of data across distributed computing clusters.

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Pickl AI

NOVEMBER 4, 2024

billion by 2031, growing at a CAGR of 25.55% during the forecast period from 2024 to 2031. million in 2024 and is projected to grow at a CAGR of 26.8% billion in 2024 to USD 774.00 during the forecast period from 2024 to 2032. The global data warehouse as a service market was valued at USD 9.06 from 2025 to 2030.

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Pickl AI

NOVEMBER 28, 2024

billion in 2024, at a CAGR of 10.7%. Key techniques in unsupervised learning include: Clustering (K-means) K-means is a clustering algorithm that groups data points into clusters based on their similarities. This growth signifies Python’s increasing role in ML and related fields. billion in 2023 to $181.15

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DagsHub

MARCH 19, 2024

Therefore, in 2024, you will very much run into apps driven by computer vision. Tesla, for instance, relies on a cluster of NVIDIA A100 GPUs to train their vision-based autonomous driving algorithms. It helped build applications around image classification, object detection, face recognition and so much more!

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phData

OCTOBER 28, 2024

Understanding Matillion and Snowflake, the Python Component, and Why it is Used Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP and supports multiple cloud data warehouses. This is a Custom Filewatcher using Python and AWS S3. If the file is present, it will exit successfully. 30 minutes).

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Flipboard

MAY 15, 2025

With SageMaker Lakehouse, you can access tables stored in Amazon Redshift managed storage (RMS) through Iceberg APIs, using the Iceberg REST catalog backed by AWS Glue Data Catalog. and higher, and AWS Glue 5.0 and higher, and AWS Glue 5.0. and higher, and AWS Glue 5.0. Amazon SageMaker Unified Studio , Amazon EMR 7.5.0

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AWS Machine Learning Blog

APRIL 16, 2025

As organizations scale their Amazon Elastic Kubernetes Service (Amazon EKS) deployments, platform administrators face increasing challenges in efficiently managing multi-tenant clusters. At AWS re:Invent 2024, we announced the multi-agent collaboration capability for Amazon Bedrock (preview). An EKS cluster.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

The solution was built in a recent collaboration between AWS Professional Services , under which Well-Architected machine learning design principles were followed. SageMaker Processing integrates seamlessly with AWS Identity and Access Management (IAM), Amazon Simple Storage Service (Amazon S3), AWS Step Functions , and other AWS services.

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