AWS is making Anthropic’s Claude Sonnet 5.5 available on Amazon Bedrock and Claude Platform on AWS for use in coding and knowledge-work workflows. It is available today on Amazon Bedrock via the Global CRIS inference profile. Teams can start testing in the Bedrock console and call the model through AWS APIs, with usage billed on their AWS bill and governed by existing AWS security and monitoring tools.
AWS deploys one vLLM-Omni Deep Learning Container with two Amazon SageMaker AI endpoints to turn a text prompt into a still image (real-time) and then animate that image into a short MP4 video (asynchronous via S3). The image and video model endpoints are for FLUX.2-klein-4B and Wan2.1-VACE-1.3B, and the default video generation uses 17 frames with 30 diffusion steps. The workflow changes from a single synchronous response to a two-stage flow where the PNG is returned immediately while the video is queued and later fetched from Amazon S3 (optionally via a Streamlit app).
Biological Computing Co. partnered with AWS to deliver its first commercial neuron-derived text-to-video AI model to paying customers. The model is claimed to generate video 5× faster and with 80% lower inference cost than the base model. TBC will deploy it through Trainium, SageMaker AI, and the AWS Marketplace without requiring customers to use any biological hardware.
Amazon Web Services released CloudWatch Omni to shift observability for agentic AI from checking whether agents are running to explaining why an agent produced a given answer. It became generally available last week and includes 17 built-in evaluators that score items such as coherence, helpfulness, faithfulness, and routing correctness. Teams can use those evaluations and shared traces to compare prompt versions, run continuous scoring on live traffic, and catch quality regressions that latency and error rates alone would miss.
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