World Congress 2025 • Aug 20, 2025 • Session details

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices

Anshul Jindal

Struggling to move generative AI from experimental notebooks to scalable production? Discover how NVIDIA NIM and NeMo Microservices unify fine-tuning, evaluation, and inference into an automated LLMOps pipeline.

Starting at 4:42 · Watch from the beginning

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

1:27 min

Automating model lifecycle management with the NIM operator

Kevin Klues Kevin Klues

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

2:14 min

Building and fine-tuning models with the NeMo framework

Anshul Jindal Anshul Jindal +1 · World Congress 2026 Europe

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

2:04 min

Optimizing and deploying containerized AI inference workloads

Ankit Patel Ankit Patel · World Congress 2024

Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design

  • Purnima Kumari

    DigitalOCean

    Sr. Solutions Architect II

Open session

Build Otto: Ship an AI Agent Without Redeploying

  • Abhishek Hiremath

    LaunchDarkly

    Senior Solutions Engineers

Open session

Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs

  • Aakriti Aggarwal

    IBM Research

    Research Engineer

  • Bhavishya Pandit

    66degrees

    Leading AI Innovation