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How to build next-gen AI services with NVIDIA AI on Azure Cloud

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name:Jon Coons
github:joncoons
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NVIDIA AI Enterprise is available on the Azure Marketplace (on‑demand from $1/hr) and is demonstrated by a pose‑estimation pipeline that fine‑tunes a TAO model with COCO data, then deploys via DeepStream for real‑time inference — the demo fixes missed leg keypoints. Claims include 146× inference speedup on A100 vs CPU, 5× faster data prep and 4× cost reduction, H100 preview with 400 Gbps and NVLink 3.6 TB/s, and container stacks of ~30 NVIDIA + 400 third‑party components managed in the Azure ML registry.

AI-written summary · about

  1. 0:00Intro
  2. 4:40The most powerful end-to-end platform for production Al NVIDIA AI Enterprise platform benefits
  3. 5:20Rapidly build Al enabled applications with an end-to-end solution Al and data science development and deployment tools
  4. 6:33Software delivering performance improvements
  5. 7:38Flexible software branch for all Al deployments Security, API stability, and peace of mind for all your Al investments
  6. 9:56Value of NVIDIA AI Enterprise subscription Support, security and reliability for production Al
  7. 10:33NVIDIA AI Enterprise on Azure Cloud On demand, private offers and bring your own license
  8. 11:57Azure Machine Learning platform architecture
  9. 13:45Azure Machine Learning optimized with NVIDIA AI Enterprise
  10. 15:20Complex ML models require 'Al-first' infrastructure
  11. 16:05NVIDIA AI Enterprise - GPU-optimized software on Azure Enterprise-ready Software | Performance Optimized | Secure
  12. 18:57DEMO: Body pose estimation using NVIDIA AI Enterprise on Azure ML Easily Iterate and Improve Video Inference with Your Data
  13. 21:43NVIDIA AI examples in Azure ML at Microsoft Build 2023
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