Anshul Jindal
Solution Architect at NVIDIA scaling cloud infrastructure for massive AI workloads.
Anshul Jindal builds reliable systems for deploying massive AI workloads at scale. On NVIDIA’s DGX Cloud team, he takes complex cloud infrastructure and turns it into functional environments for production models.
Drawing from his roots in site reliability engineering, Anshul runs production Kubernetes clusters across multiple cloud providers. His talks explain the hard constraints around inference scaling and show how to automate LLM operations from fine-tuning to deployment.
He earned his PhD in computer science from TU Munich, graduating summa cum laude.
