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17 lines
1.3 KiB
Markdown
17 lines
1.3 KiB
Markdown
---
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name: dgx-spark-vss
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description: Run the VSS Blueprint on your Spark — on NVIDIA DGX Spark. Use when setting up vss on Spark hardware.
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---
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<!-- GENERATED:BEGIN from nvidia/vss/README.md -->
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# Build a Video Search and Summarization (VSS) Agent
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> Run the VSS Blueprint on your Spark
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Deploy NVIDIA's Video Search and Summarization (VSS) AI Blueprint to build intelligent video analytics systems that combine vision language models, large language models, and retrieval-augmented generation. The system transforms raw video content into real-time actionable insights with video summarization, Q&A, and real-time alerts. You'll set up either a completely local Event Reviewer deployment or a hybrid deployment using remote model endpoints.
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**Outcome**: You will deploy NVIDIA's VSS AI Blueprint on NVIDIA Spark hardware with Blackwell architecture, choosing between two deployment scenarios: VSS Event Reviewer (completely local with VLM pipeline) or Standard VSS (hybrid deployment with remote LLM/embedding endpoints). This includes setting up Alert Bridge, VLM Pipeline, Alert Inspector UI, Video Storage Toolkit, and optional DeepStream CV pipeline for automated video analysis and event review.
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**Full playbook**: `/home/runner/work/dgx-spark-playbooks/dgx-spark-playbooks/nvidia/vss/README.md`
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<!-- GENERATED:END -->
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