Tag: Amazon EC2
Integrate HyperPod clusters with Active Directory for seamless multi-user login | Amazon Web Services
Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training...
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Scale AI training and inference for drug discovery through Amazon EKS and Karpenter | Amazon Web Services
This is a guest post co-written with the leadership team of Iambic Therapeutics.
Iambic Therapeutics is a...
Open source observability for AWS Inferentia nodes within Amazon EKS clusters | Amazon Web Services
Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. Although they are...
A secure approach to generative AI with AWS | Amazon Web Services
Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. Customers are...
AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS | Amazon Web Services
AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI)...
Generative AI roadshow in North America with AWS and Hugging Face | Amazon Web Services
In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016,...
Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia | Amazon Web Services
This is a guest post co-written with Michael Feil at Gradient.
Evaluating the performance of large language...
Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2 | Amazon Web Services
This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the...
Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock | Amazon Web Services
In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous...
Best practices for building secure applications with Amazon Transcribe | Amazon Web Services
Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered...
Unlock the potential of generative AI in industrial operations | Amazon Web Services
In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...
Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services
Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of...
Enable data sharing through federated learning: A policy approach for chief digital officers | Amazon Web Services
This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc.
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