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Powering the Next Generation of AI Applications.
Join us on Saturday, 30th May, for a deep dive into the systems and hardware orchestration making the AI revolution possible. Hosted at the Cloudera Bangalore office in collaboration with vCluster, this meetup is designed for engineers, architects, and builders who are navigating the complexities of modern AI stacks.
From the intricacies of GPU optimization to the challenges of scaling inference workloads on Kubernetes, we are moving beyond the hype and into the "how-to" of production AI.

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### What to Expect

Whether you’re managing massive GPU clusters or just beginning to architect your first LLM platform, this is your space to share "war stories" and production learnings. Expect technical deep dives into:

  • GPU Orchestration: Best practices for workload optimization.
  • Kubernetes for AI: Scaling K8s to handle massive AI compute.
  • Inference at Scale: Serving models efficiently in real-world environments.
  • The AI Platform: Building robust engineering platforms for LLMs.
  • Open Source & Tools: Leveraging vCluster and OSS tooling for infrastructure agility.
  • The MCP Frontier: Exploring the Model Context Protocol and the future of AI connectivity.

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### Agenda

  • 10:00 AM: Doors Open & Welcome Coffee ☕
  • 10:30 AM: Talk 1
  • 11:00 AM: Talk 2
  • 11:30 PM: Talk 3
  • 12:00 PM: Talk 4
  • 12:15 PM: Quiz
  • 12:30 PM: Talk 5
  • 01:00 PM: Lightening Talk
  • 01:15 PM: Lunch & Networking

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### Event Details

📅 Date: Saturday, 30th May 2026
🕙 Time: 10:00 AM – 2:00 PM IST
📍 Location: Cloudera Bangalore Office - 4th Floor
🤝 Partners: In collaboration with vCluster

Who should attend? Platform Engineers, DevOps/SREs, Data Engineers, AI Researchers, and anyone building the "plumbing" that keeps LLMs running.

Note: Space is limited to ensure high-quality technical networking. Please Register HERE to secure your spot! Kindly expect a confirmation email post registration to attend.

Sponsors

Cloudera

Cloudera

We deliver an enterprise data cloud from the Edge to AI.

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