AWS News Blog
Category: Generative AI
Introducing HAQM Nova Sonic: Human-like voice conversations for generative AI applications
HAQM Nova Sonic is a new foundation model on HAQM Bedrock that streamlines speech-enabled applications by offering unified speech recognition and generation capabilities, enabling natural conversations with contextual understanding while eliminating the need for multiple fragmented models.
AWS Weekly Roundup: Anthropic Claude 3.7, JAWS Days, cross-account access, and more (March 3, 2025)
I have fond memories of the time I built an application live at the AWS GenAI Loft London last September. AWS GenAI Lofts are back in locations such as San Francisco, Berlin, and more, to continue providing collaborative spaces and immersive experiences for startups and developers. Find a loft near you for hands-on access to […]
AWS Weekly Roundup: DeepSeek-R1, S3 Metadata, Elastic Beanstalk updates, and more (February 3, 2024)
Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers from the community, including an AWS Hero and 4 AWS Community Builders who shared […]
New HAQM Bedrock capabilities enhance data processing and retrieval
HAQM Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.
Reduce costs and latency with HAQM Bedrock Intelligent Prompt Routing and prompt caching (preview)
Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.
HAQM Bedrock Marketplace: Access over 100 foundation models in one place
Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by HAQM Bedrock.
Meet your training timelines and budgets with new HAQM SageMaker HyperPod flexible training plans
Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.
Maximize accelerator utilization for model development with new HAQM SageMaker HyperPod task governance
Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.