TwelveLabs’ Pegasus 1.2 model now in 23 new AWS regions via Global cross-region inference

Amazon Bedrock introduces [Global cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/global-cross-region-inference.html) for TwelveLabs' Pegasus 1.2, expanding model availability to 23 new regions in addition to the seven regions where the model was already available. You can now also access the model in all EU regions in Amazon Bedrock using [Geographic cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/geographic-cross-region-inference.html). Geographic cross-Region inference is ideal for workloads with data residency or compliance requirements within a specific geographic boundary, while Global cross-Region inference is recommended for applications that prioritize availability and performance across multiple geographies. Pegasus 1.2 is a powerful video-first language model that can generate text based on the visual, audio, and textual content within videos. Specifically designed for long-form video, it excels at video-to-text generation and temporal understanding. With Pegasus 1.2's availability in these additional regions, you can now build video-intelligence applications closer to your data and end users, reducing latency and simplifying your architecture. For a complete list of supported inference profiles and regions for Pegasus 1.2, refer to the [Cross-Region Inference documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles-support.html#inference-profiles-support-system). To get started with Pegasus 1.2, visit the Amazon Bedrock console. To learn more, read the [product pa](https://aws.amazon.com/bedrock/twelvelabs/)[ge](https://aws.amazon.com/bedrock/twelvelabs/) and [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-twelvelabs.html).