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# Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing


- **Date:** Friday, Jul 10, 2026
- **Time:** 15:40–16:10 (30 min)
- **Room:** Stage 2
- **Event:** World Congress 2026 Europe

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)

## Description

Kubernetes offers many ways to share GPUs, but a single, cluster-wide scheduler often forces trade-offs between utilization, stability, and team autonomy. This talk shows how vCluster makes the NVIDIA Kubernetes AI Scheduler (KAI) run as an opt-in service for each tenant—so platform teams can raise GPU density while keeping operations predictable.

What We’ll Cover

    Problem statement – why mixed workloads leave GPUs under-used and complicate on-call.
    vCluster fundamentals – lightweight control planes that isolate scheduling logic, not hardware.
    KAI at a glance – fractional GPU allocation, gang queues, topology awareness.
    Live demonstration – two vClusters on one host

Key Takeaways

    A reproducible pattern for running different schedulers side-by-side.
    Practical steps to increase GPU utilisation without adding more clusters.
    An isolation model that lets teams experiment safely.

## Speaker

### [Piotr Zaniewski](https://www.wearedevelopers.com/@piotr-zaniewski)

Head of Engineering Enablement at vCluster Labs


## Related talks at this congress

- [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1387-running-secure-life) — Jeremy Murray
- [GPU is not Monolithic : Packing LLMs with MIGs on Kubernetes](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1012-gpu-is-not) — Hajed Khlifi
- [Building a Cloud Platform Where Everything is Just Another Kubernetes Resource](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1131-building-a-cloud) — Patrick Koss
- [Accelerating AI Inference at Scale: A Deep Dive Into NVIDIA Dynamo on Kubernetes](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1061-accelerating-ai) — Anshul Jindal, Mohak Chadha