Unlocking video insights at scale with Amazon Bedrock multimodal models
Amazon Bedrock just shipped three new ways to process video at scale. Here's why your inference costs just changed.
Why it matters
AWS is expanding Bedrock's multimodal capabilities for video understanding with multiple architectural approaches, enabling enterprises to optimize cost-performance trade-offs for different video analysis use cases.
The key facts
9 to knowAmazon Bedrock multimodal models now support video understanding
Three distinct architectural approaches offered
Designed for different use cases and cost-performance trade-offs
Published March 25, 2026
Amazon Bedrock multimodal models support video understanding
Three distinct architectural approaches for different use cases
Cost-performance trade-offs built into each approach
Designed for scalable video processing
Published March 25, 2026 on AWS ML blog
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we explore how the multimodal foundation models (FMs) of Amazon Bedrock enable scalable video understanding through three distinct architectural approaches. Each approach is designed for different use cases and cost-performance trade-offs.