Generative Data Intelligence

Tag: Amazon Elastic Kubernetes Service

SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions | Amazon Web Services

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American...

How Forethought saves over 66% in costs for generative AI models using Amazon SageMaker | Amazon Web Services

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc....

AWS Inferentia2 builds on AWS Inferentia1 by delivering 4x higher throughput and 10x lower latency | Amazon Web Services

The size of the machine learning (ML) models––large language models (LLMs) and foundation models (FMs)––is growing fast year-over-year, and these models need faster and...

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 1 | Amazon Web Services

Cost optimization is one of the pillars of the AWS Well-Architected Framework, and it’s a continual process of refinement and improvement over the span...

Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator | Amazon Web Services

This is a guest blog post co-written with Vik Pant and Kyle Bassett from PwC. With organizations increasingly investing in machine learning (ML), ML...

How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency

This is a guest post co-written with Fred Wu from Sportradar. Sportradar is the world’s leading sports technology company, at the intersection between sports,...

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications...

Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

Financial market participants are faced with an overload of information that influences their decisions, and sentiment analysis stands out as a useful tool to...

Axiata Digital Labs (ADL) to collaborate with AWS to drive Telco Industry TechCo Evolution

COLOMBO, LK, Mar 2, 2023 - (ACN Newswire) - Axiata Digital Labs (ADL) has announced a collaboration with Amazon Web Services (AWS) to provide its cutting-edge Digital Telco...

Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. At the server level, such training workloads demand faster compute...

Build flexible and scalable distributed training architectures using Kubeflow on AWS and Amazon SageMaker

In this post, we demonstrate how Kubeflow on AWS (an AWS-specific distribution of Kubeflow) used with AWS Deep Learning Containers and Amazon Elastic File...

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