NVIDIA
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Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3

Our short summary of NVIDIA’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on developer.nvidia.com (opens in a new tab)

Problem

Building visual AI agents was expensive and hard to maintain, especially for video ingestion, processing, and search.

Solution

They released VSS Blueprint 3.3, adding a Build Vision Agent skill for rapid deployment and Adaptive Efficient Video Sampling that cuts VLM token use and GPU load.

80% fewer tokens, 46% more concurrent streams

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on developer.nvidia.com (opens in a new tab)

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