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Deploy AI Models to Production with NVIDIA NIM
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In this video, we will look at NVIDIA Inference Microservice (NIM). NIM offers pre-configured AI models optimized for NVIDIA hardware, streamlining the transition from prototype to production. The key benefits, including cost efficiency, improved latency, and scalability. Learn how to get started with NIM for both serverless and local deployments, and see live demonstrations of models like Llama 3 and Google’s Polygama in action. Don’t miss out on this powerful tool that can transform your enterprise applications.
LINKS:
#deployment #nvidia #llms
RAG Beyond Basics Course:
TIMESTAMP:
00:00 Deploying LLMs is hard!
00:30 Challenges in Productionizing AI Models
01:20 Introducing NVIDIA Inference Microservice (NIM)
02:17 Features and Benefits of NVIDIA NIM
03:33 Getting Started with NVIDIA NIM
05:25 Hands-On with NVIDIA NIM
07:15 Integrating NVIDIA NIM into Your Projects
09:50 Local Deployment of NVIDIA NIM
11:04 Advanced Features and Customization
11:39 Conclusion and Future Content
All Interesting Videos:
LINKS:
#deployment #nvidia #llms
RAG Beyond Basics Course:
TIMESTAMP:
00:00 Deploying LLMs is hard!
00:30 Challenges in Productionizing AI Models
01:20 Introducing NVIDIA Inference Microservice (NIM)
02:17 Features and Benefits of NVIDIA NIM
03:33 Getting Started with NVIDIA NIM
05:25 Hands-On with NVIDIA NIM
07:15 Integrating NVIDIA NIM into Your Projects
09:50 Local Deployment of NVIDIA NIM
11:04 Advanced Features and Customization
11:39 Conclusion and Future Content
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