Remove AWS Remove Generative AI Remove Hardware
article thumbnail

Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. The implementation of Container Caching for running Llama3.1

article thumbnail

Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

Training 113
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

AWS Machine Learning - AI

In the rapidly evolving world of generative AI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. Understanding the Prompt Structure Prompt engineering is a valuable technique for effectively using generative AI image models. A photo of a (red:1.2)

article thumbnail

Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips

AWS Machine Learning - AI

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions. You will use inf2.xlarge

article thumbnail

9 IT skills where expertise pays the most

CIO

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics.

article thumbnail

Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

AWS 103
article thumbnail

Together raises $20M to build open source generative AI models

TechCrunch

Generative AIAI that can write essays, create artwork and music, and more — continues to attract outsize investor attention. According to one source, generative AI startups raised $1.7 Google Cloud, AWS, Azure). Google Cloud, AWS, Azure). billion in Q1 2023, with an additional $10.68