Deploying Generative AI in Production with NVIDIA NIM

Unlock the potential of generative AI with NVIDIA NIM. This video dives into how NVIDIA NIM microservices can transform your AI deployment into a production-ready powerhouse.

Learn how NIM delivers flexible, scalable, and secure AI applications across any platform—cloud, data centers, or on-prem. Discover how its cloud-native architecture, backed by powerful tools like NVIDIA Triton Inference Server and TensorRT-LLM, simplifies the deployment and scaling of AI models, ensuring efficient and cost-effective operations. Whether you're looking to enhance security, reduce latency, or manage infrastructure costs, NVIDIA NIM provides the tools you need to deploy generative AI applications with confidence and control.

Dive into a quick 2-min overview on NVIDIA NIM and how it can scale generative AI deployment in the enterprise.

Overview

0:15 - Top Considerations for Scaling Generative AI in Production
0:34 - What are NVIDIA NIM accelerated microservices?
0:47 - Deploy locally with a single command
0:53 - Orchestrate an autoscale with Kubernetes
0:59 - Production Monitoring: Identity, Metrics, Health Check
1:07 - Inference engine powered by NVIDIA Triton Inference Server, NVIDIA TensorRT and TensorRT-LLM
1:20 - Use industry-standard APIs
1:28 - Streamline generative AI at scale

Developer resources

◻️ Getting Started Blog:

#generativeai #aimicroservices #inferencemicroservices #nvidianim #apicatalog #generativeaideployment #aiinference #productiongenerativeai #enterprsiegenerativeai #modeldeployment #acceleratedinference #nvidiaai #computex2024 #computex

[NVIDIADeveloper]

Lots of great questions in comments. Here are responses from our NIM team:

Q: Does NVIDIA NIM deployment language model have training and fine-tuning capabilities? Does it have knowledge base functionality?

Q: How to get access to NIM microservice? I've already raised a ticket.

Q: What models is this good for?

[Ms.Robot.]

Sweet. ❗❤🎉 I can't wait to see community contributions into this.

[DonaldTrum]

Does NVIDIA nim deployment language model have training and fine-tuning capabilities, and does it have knowledge base functionality?

[tanayprabhanjan]

How to get access to nim microservice I have already raised a ticket for it

[sergeistadnik]

I wonder if there is a good guide for nim deployment in production?

[panzerofthelake]

when will there be news regarding ray tracing? Area ReSTIR is a great new paper. I wonder if this will be of any relevance for DLSS 4?

[SantK]

How it’s different from low cost - Groq Cloud LPU inference

[MilesBellas]

Nvidia needs to buy Stable Diffusion and create an alternative renderer plugin for Maya, Blender etc.... that use tokens from object names...
ie flexible muscle, old bricks, etc....