# Computer Vision / Video Analytics

Published articles for Computer Vision / Video Analytics.

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## When to Use Encode-Prefill-Decode Disaggregation to Accelerate Multimodal Model Serving

DevFeed: [When to Use Encode-Prefill-Decode Disaggregation to Accelerate Multimodal Model Serving](<https://devfeed.tech/articles/when-to-use-encode-prefill-decode-disaggregation-to-accelerate-multimodal-model-serving-6945.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/when-to-use-encode-prefill-decode-disaggregation-to-accelerate-multimodal-model-serving/>)

Author: Tanya Lenz

Published: 2026-09-09T20:31:04Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Optimization](<https://devfeed.tech/topics/optimization.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Dynamo](<https://devfeed.tech/topics/dynamo.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [dynamo](<https://devfeed.tech/tags/dynamo.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [low-latency-inference](<https://devfeed.tech/tags/low-latency-inference.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [model-serving](<https://devfeed.tech/tags/model-serving.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [nvfp4](<https://devfeed.tech/tags/nvfp4.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimization](<https://devfeed.tech/tags/optimization.md>)

### AI overview

This article explains when encode-prefill-decode disaggregation improves multimodal model serving. Using NVIDIA Dynamo, it separates vision encoding from LLM prefill and decode so the stages can batch, schedule, and scale independently. The approach is most effective for image-heavy prompts, short-to-medium outputs, and quantized mixture-of-experts models, with reported gains of up to 5x in time to first token and 7x in end-to-end response time.

### Source excerpt

Encode-prefill-decode (EPD) disaggregation is an inference optimization technique for multimodal models that separates the vision encoder stage from the prefill...

## Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents

DevFeed: [Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents](<https://devfeed.tech/articles/developing-nvidia-holoscan-applications-with-cli-skills-and-ai-coding-agents-6813.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/developing-nvidia-holoscan-applications-with-cli-skills-and-ai-coding-agents/>)

Author: Elizabeth Goodman

Published: 2026-08-19T22:22:37Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Holoscan](<https://devfeed.tech/topics/holoscan.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Medical imaging](<https://devfeed.tech/topics/medical-imaging.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [clara](<https://devfeed.tech/tags/clara.md>), [cli](<https://devfeed.tech/tags/cli.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [featured](<https://devfeed.tech/tags/featured.md>), [healthcare-life-sciences](<https://devfeed.tech/tags/healthcare-life-sciences.md>), [holoscan](<https://devfeed.tech/tags/holoscan.md>), [medical-devices](<https://devfeed.tech/tags/medical-devices.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [monai](<https://devfeed.tech/tags/monai.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [skills](<https://devfeed.tech/tags/skills.md>), [video-analytics](<https://devfeed.tech/tags/video-analytics.md>)

### AI overview

An NVIDIA Holoscan developer article about building real-time edge AI applications with CLI skills and AI coding agents, covering use cases including medical imaging and robotics.

### Source excerpt

NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a...

## NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek

DevFeed: [NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek](<https://devfeed.tech/articles/nvidia-video-codec-sdk-13-1-zero-copy-transcode-av1-b-frames-and-frame-accurate-seek-6916.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-video-codec-sdk-13-1-zero-copy-transcode-av1-b-frames-and-frame-accurate-seek/>)

Author: Elizabeth Goodman

Published: 2026-07-31T15:13:02Z

Content type: release

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [SDKs](<https://devfeed.tech/topics/sdks.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Docker](<https://devfeed.tech/topics/docker.md>)

Tags: [computer-graphics-visualization](<https://devfeed.tech/tags/computer-graphics-visualization.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [featured](<https://devfeed.tech/tags/featured.md>), [features](<https://devfeed.tech/tags/features.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [latest-features](<https://devfeed.tech/tags/latest-features.md>), [media-entertainment](<https://devfeed.tech/tags/media-entertainment.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [remote](<https://devfeed.tech/tags/remote.md>), [statistics](<https://devfeed.tech/tags/statistics.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [tools](<https://devfeed.tech/tags/tools.md>), [video-codec-sdk](<https://devfeed.tech/tags/video-codec-sdk.md>), [video-decode-encode](<https://devfeed.tech/tags/video-decode-encode.md>)

### AI overview

NVIDIA Video Codec SDK 13.1 adds GPU-accelerated video encoding, decoding, and transcoding capabilities, including AV1 hierarchical B-frame references, decode statistics, frame-specific seeking, zero-copy buffer handling, redesigned transcoder samples, and a Docker-based development environment.

### Source excerpt

The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,...

## Integrating Context-Aware Video AI Agents Into Enterprise Workflows

DevFeed: [Integrating Context-Aware Video AI Agents Into Enterprise Workflows](<https://devfeed.tech/articles/integrating-context-aware-video-ai-agents-into-enterprise-workflows-6869.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/integrating-context-aware-video-ai-agents-into-enterprise-workflows/>)

Author: Tanya Lenz

Published: 2026-07-16T16:03:35Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [featured](<https://devfeed.tech/tags/featured.md>), [integration](<https://devfeed.tech/tags/integration.md>), [nemoclaw](<https://devfeed.tech/tags/nemoclaw.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval-augmented-generation-rag](<https://devfeed.tech/tags/retrieval-augmented-generation-rag.md>), [video](<https://devfeed.tech/tags/video.md>), [video-analytics](<https://devfeed.tech/tags/video-analytics.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

A tutorial on integrating context-aware video AI agents into enterprise workflows with NVIDIA NemoClaw, Video Search and Summarization, and retrieval-augmented generation blueprints.

### Source excerpt

A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and...

## Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills

DevFeed: [Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills](<https://devfeed.tech/articles/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills-6766.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills/>)

Author: Elizabeth Goodman

Published: 2026-07-15T23:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [multi-camera tracking](<https://devfeed.tech/topics/multi-camera-tracking.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Jetson](<https://devfeed.tech/topics/jetson.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [applications](<https://devfeed.tech/tags/applications.md>), [automation](<https://devfeed.tech/tags/automation.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [deepstream](<https://devfeed.tech/tags/deepstream.md>), [developers](<https://devfeed.tech/tags/developers.md>), [development](<https://devfeed.tech/tags/development.md>), [edge](<https://devfeed.tech/tags/edge.md>), [featured](<https://devfeed.tech/tags/featured.md>), [github](<https://devfeed.tech/tags/github.md>), [jetpack](<https://devfeed.tech/tags/jetpack.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [metropolis](<https://devfeed.tech/tags/metropolis.md>), [multi-camera-tracking](<https://devfeed.tech/tags/multi-camera-tracking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [video](<https://devfeed.tech/tags/video.md>), [video-analytics](<https://devfeed.tech/tags/video-analytics.md>)

### AI overview

This article introduces NVIDIA DeepStream 9.1 capabilities for building multi-camera 3D tracking applications. It explains how AutoMagicCalib and Multi-View 3D Tracking combine detections from auto-calibrated cameras in a shared 3D coordinate system, maintaining consistent object IDs across views. It also highlights agentic skills, JetPack support for Jetson edge platforms, and open-source reference implementations.

### Source excerpt

Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking...

## Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills

DevFeed: [Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills](<https://devfeed.tech/articles/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills-6922.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills/>)

Author: Tanya Lenz

Published: 2026-07-14T16:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [lora](<https://devfeed.tech/topics/lora.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [featured](<https://devfeed.tech/tags/featured.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [lora](<https://devfeed.tech/tags/lora.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [training-ai-models](<https://devfeed.tech/tags/training-ai-models.md>)

### AI overview

A tutorial on post-training NVIDIA Cosmos 3 Nano for video question answering with coding-agent skills, LoRA, and TAO AutoML configuration sweeps.

### Source excerpt

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...