All news with #aws bedrock tag

AWS Bedrock Adds OpenAI Open‑Weight Models in Eight Regions

🚀 AWS has expanded availability of OpenAI open weight models on AWS Bedrock to eight additional AWS Regions worldwide. The update brings the models to US East (N. Virginia), Asia Pacific (Tokyo, Mumbai), Europe (Stockholm, Ireland, London, Milan) and South America (São Paulo), alongside existing US West (Oregon) support. This broader footprint aims to lower latency, improve model performance and help customers meet data residency requirements. To get started, use the Amazon Bedrock console or consult the documentation.

Amazon Bedrock Now Available in Asia Pacific Jakarta

🚀 Amazon announced the general availability of Amazon Bedrock in the Asia Pacific Jakarta region, enabling customers to build and scale generative AI applications closer to end users. The fully managed service exposes a selection of high-performing foundation models via a single API and includes capabilities such as Guardrails and Model customization. These features are designed to help organizations incorporate security, privacy, and responsible AI into production workflows while accelerating development and deployment.

Amazon Bedrock Data Automation Adds Five Document Languages

📄 Amazon Web Services' Bedrock Data Automation now supports five additional document languages — Portuguese, French, Italian, Spanish, and German — expanding multilingual document processing beyond English. Customers can build blueprints, prompts, and instructions in these languages using BDA Custom Output, while BDA Standard Output will produce summaries and figure captions in the detected document language. This update is generally available across multiple AWS commercial and GovCloud regions and aims to accelerate multilingual document workflows for intelligent document processing and multimodal automation.

Amazon Bedrock Data Automation Now in GovCloud (US-West)

🚀 Amazon Bedrock Data Automation (BDA) is now generally available in the AWS GovCloud (US-West) Region. BDA automates extraction of actionable insights from unstructured multimodal content—documents, images, video, and audio—helping developers accelerate GenAI-based applications like intelligent document processing and media analysis. It can run standalone or as a parser in Amazon Knowledge Bases RAG workflows and is now offered in eight AWS Regions.

Count Tokens API Adds Claude Model Support in Bedrock

🧮 The Count Tokens API is now available in Amazon Bedrock, enabling users to determine token counts for a prompt or input prior to performing inference. Anthropic’s Claude models are supported at launch and the feature is available in all regions where those models run. This improves cost projection, gives more control over token limits, and reduces the risk of unexpected throttling. It also helps ensure inputs fit within a model's context length for more efficient prompt optimization.

AWS auto-enables OpenAI open-weight models in Bedrock

🔓 AWS has made two OpenAI models with open weights — gpt-oss-120b and gpt-oss-20b — automatically available to all Amazon Bedrock users as of August 5, 2025. Users can access them immediately via the Amazon Bedrock console playground or the unified Bedrock API in supported regions. Administrators retain full control and can restrict usage with AWS IAM policies and Service Control Policies.

TwelveLabs Pegasus 1.2 Now in AWS Virginia and Seoul

📹 TwelveLabs Pegasus 1.2 is now available in US East (N. Virginia) and Asia Pacific (Seoul) through Amazon Bedrock. The video-first language model is optimized for long-form content and combines visual, audio, and textual signals to deliver advanced video-to-text generation and temporal understanding. Regional availability reduces latency and simplifies architecture for enterprise video-intelligence applications. To begin, request model access via the Amazon Bedrock console.

Bedrock Batch Inference: Claude Sonnet 4 and GPT-OSS

🚀 Amazon Bedrock now supports Batch inference for Anthropic Claude Sonnet 4 and OpenAI GPT-OSS (120B, 20B), enabling asynchronous processing of large workloads at approximately 50% of on-demand inference cost. The update targets bulk scenarios such as document analysis, large-scale summarization, content generation, and structured data extraction, and is optimized to deliver higher overall batch throughput on these newer models. Batch progress and workload metrics — including pending and processed records, tokens per minute, and Claude-specific pending tokens — are exposed at the AWS account level via Amazon CloudWatch.