WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe • Jul 10, 2026 • Session details

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Infrastructure bottlenecks and Slurm queues cripple medical AI. Treating Kubernetes as a global control plane enables secure, hybrid GPU bursting without moving governed patient data to the public cloud.

Pause
Mute Enter Fullscreen
#1 about 2 min

Empowering life science researchers with artificial intelligence

Making advanced capabilities more accessible empowers researchers to find cures for complex diseases.

#2 about 3 min

Infrastructure barriers and compliance risks in research

How reliance on local laptops and outdated job schedulers limits scalability and compromises data compliance.

#3 about 2 min

Transitioning to hybrid clouds amid GPU scarcity

Why research institutions are adopting hybrid models to combat vendor lock-in and severe computing shortages.

#4 about 2 min

Understanding data sovereignty and international compliance

Why strict data privacy regulations like the Cloud Act warrant the strategic use of neo-clouds.

#5 about 4 min

Utilizing artificial intelligence to analyze neurodegenerative diseases

Discovering patterns in aging and conditions like Parkinson's and sepsis through advanced data analytics.

#6 about 2 min

Managing complex heterogeneous data in life sciences

Why traditional flat files fail to support the growing petabytes of unstructured medical and multi-omics information.

#7 about 3 min

Bursting GPU capacity over hybrid Kubernetes networks

Using a robust networking fabric to instantly bridge on-premises data with remote cloud compute resources.

#8 about 3 min

Providing researchers with on-demand analytics environments

Deploying self-serve databases, standardized pipelines, and serverless architectures to accelerate scientific model development.

#9 about 2 min

Managing GPU quotas and multi-tenancy with Kueue

Replacing traditional schedulers with a modern queue system ensures fair resource distribution among diverse teams.

#10 about 2 min

Abstracting infrastructure complexity with automated toolsets

Utilizing specialized assistants to help professionals effortlessly deploy suitable models and diverse database architectures.

#11 about 2 min

Scaling model inference leveraging serverless edge functions

Decoupling generalized computations into serverless APIs allows disparate ecosystems to utilize accessible AI endpoints.

#12 about 2 min

Reviewing key architectural decisions for federated AI computing

Summarizing how orchestrated platforms securely bring scalable compute to sensitive data across varied scientific applications.

Matching moments

4:49 min

Structuring compute and data services for AI models

Radu Vunvulea Radu Vunvulea · World Congress 2025

3:28 min

Challenges of shared Kubernetes clusters for AI workloads

Piotr Zaniewski Piotr Zaniewski · World Congress 2026 Europe

1:37 min

Unlocking direct GPU access within managed Kubernetes platforms

Kevin Klues Kevin Klues

3:17 min

Maximizing cloud native capabilities for scaling dynamic AI workloads

Jim Clark Jim Clark +3 · World Congress 2025

3:35 min

Serving production machine learning workloads with KubeFlow and KServe

Aarno Aukia · LIVE

2:19 min

Cloud infrastructure deployment and industry use cases

Mingshen Sun Mingshen Sun · World Congress 2024

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
2 months ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
2 months ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
2 months ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
2 months ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
2 months ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Meta Harnesses: What the JS Framework Wars Teach Us About What Is Next for AI Agents thumbnail
30:30
2 months ago

Meta Harnesses: What the JS Framework Wars Teach Us About What Is Next for AI Agents

Victor Savkin

Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 25, 2026 · 15:30–16:00

Stage 7

Trust, But Verify: Continuous GPU Validation at Scale

Kyle Bell

VP of AI at TensorWave

Kyle Bell
Open session

World Congress 2026 North America

September 24, 2026 · 11:00–11:30

Stage 1

Application-Defined Compute: Rethinking Infrastructure for AI Applications

Anurag Goel

Founder & CEO of Render

Anurag Goel
Open session

World Congress 2026 North America

September 25, 2026 · 11:00–11:30

Stage 5

Managing GPUs by Just Asking, Infrastructure in the Age of MCP

Jessica Garson Beauchemin

Developer Relations Lead, Community at Runpod

Jessica Garson Beauchemin
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Stage 9

Run your agents in Kubernetes: Build once, deploy anywhere. But really?

Michal Salanci

Senior Systems Engineer at ESET Cybersecurity

Michal Salanci
Open session

World Congress 2026 North America

September 23, 2026 · 10:45–12:45

Stage 10

Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs

Duan Lightfoot

Sr. AI Engineer, Akamai

Duan Lightfoot
Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 5

Edge AI: Running Agentic Intelligence Where Internet Can't Reach

Nitin Eusebius

AWS - Principal Solutions Architect

Nitin Eusebius

Related videos

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing thumbnail
27:54
World Congress 2026 Europe • 2 months ago

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

Piotr Zaniewski

AI Factories at Scale thumbnail
24:26
World Congress 2024 • about 2 years ago

AI Factories at Scale

Thomas Schmidt

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes thumbnail
32:19
World Congress 2025 • about 1 year ago

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes

Kevin Klues

Supercharge your cloud-native applications with Generative AI thumbnail
32:13
World Congress 2024 • about 2 years ago

Supercharge your cloud-native applications with Generative AI

Cedric Clyburn

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.