Deadline Extended — Create a Project G-Assist Plug-In for a Chance...
Submissions for NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon are due Sunday, July 20, at 11:59pm PT. RTX AI Garage offers all the...
Accelerate generative AI inference with NVIDIA Dynamo and Amazon EKS
This post is co-written with Kshitiz Gupta, Wenhan Tan, Arun Raman, Jiahong Liu, and Eiluth Triana Isaza from NVIDIA.
As large language models (LLMs) and...
Supercharge generative AI workflows with NVIDIA DGX Cloud on AWS and...
This post is co-written with Andrew Liu, Chelsea Isaac, Zoey Zhang, and Charlie Huang from NVIDIA.
DGX Cloud on Amazon Web Services (AWS) represents a...
AWS doubles investment in AWS Generative AI Innovation Center, marking two...
When we launched the AWS Generative AI Innovation Center in 2023, we had one clear goal: help customers turn AI potential into real business...
NVIDIA CEO Jensen Huang Promotes AI in Washington, DC and China
This month, NVIDIA founder and CEO Jensen Huang promoted AI in both Washington, D.C. and Beijing — emphasizing the benefits that AI will bring to business...
Build secure RAG applications with AWS serverless data lakes
Data is your generative AI differentiator, and successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Traditional...
How Rapid7 automates vulnerability risk scores with ML pipelines using Amazon...
This post is cowritten with Jimmy Cancilla from Rapid7.
Organizations are managing increasingly distributed systems, which span on-premises infrastructure, cloud services, and edge devices. As...
Build AI-driven policy creation for vehicle data collection and automation using...
Vehicle data is critical for original equipment manufacturers (OEMs) to drive continuous product innovation and performance improvements and to support new value-added services. Similarly,...
Intelligent document processing at scale with generative AI and Amazon Bedrock...
Extracting information from unstructured documents at scale is a recurring business task. Common use cases include creating product feature tables from descriptions, extracting metadata...
Advanced fine-tuning methods on Amazon SageMaker AI
This post provides the theoretical foundation and practical insights needed to navigate the complexities of LLM development on Amazon SageMaker AI, helping organizations make...
