AWS News Blog
Category: News
Now Available – Second-Generation FPGA-Powered Amazon EC2 instances (F2)
Accelerate genomics, multimedia, big data, networking, and more with up to 192 vCPUs, 8 FPGAs, 2TiB memory, and 100Gbps network – outpacing CPUs by up to 95x.
Introducing Buy with AWS: an accelerated procurement experience on AWS Partner sites, powered by AWS Marketplace
Buy with AWS enables you to seamlessly discover and purchase products available in AWS Marketplace from AWS Partner websites using your AWS account.
Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes
Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance.
AWS Education Equity Initiative: Applying generative AI to educate the next wave of innovators
Amazon commits $100M to empower education equity initiatives, enabling socially-minded organizations to create AI-powered digital learning solutions. This aims to reach underserved students globally through innovative platforms, apps, and assistants.
Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight
Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.
Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)
Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds.
New Amazon Bedrock capabilities enhance data processing and retrieval
Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.