AWS News Blog

Unleash your creativity: Stable Diffusion 3.5 Large in Amazon Bedrock generates stunning high-resolution images with superior detail, style variety, and prompt adherence for accelerated visual content creation.

Leverage 1920 vCPUs and 32TB memory with high-performance U7inh instances from AWS, powered by Intel Xeon Scalable processors; seamlessly migrate SAP HANA and other mission-critical workloads while benefiting from cloud scalability and cost savings.

After 20 years, and 3283 posts adding up to 1,577,106 words I am wrapping up my time as the lead blogger on the AWS News Blog. It has been a privilege to be able to “live in the future” and to get to learn and write about so many of our innovations over the last

The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges. As usual, we have you covered with our top announcements of AWS re:Invent 2024 post. You can now watch keynotes and

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.

Buy with AWS enables you to seamlessly discover and purchase products available in AWS Marketplace from AWS Partner websites using your AWS account.

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.

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.

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.

Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.

Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds.

Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.

Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.

Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse’s new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.