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Run your AI workloads on any cloud, without moving your data. ⚡

Lightning AI16 June 2026Watch on YouTube

Part of series

Ep. 8 · Lightning AI: Bouw & Deploy

End-to-end tutorials voor het bouwen, trainen en deployen van AI-modellen met het Lightning AI platform.

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Description

In this video, we introduce Lightning’s cloud-agnostic storage, built to give you flexibility, speed, and cost efficiency across any cloud provider. 🔹 Run workloads across any cloud, no lock-in 🔹 Choose the GPU + price that best fits your project 🔹 Avoid costly egress fees while keeping S3/GCS-level performance Whether you’re scaling training jobs, fine-tuning models, or running inference at scale, Lightning lets you focus on building, not infrastructure headaches. Try it now with 80 free GPU hours: https://lightning.ai/ #AI #CloudComputing #GPU #MLOps #LightningAI

What you'll learn

  • Lightning AI provides a cloud-agnostic storage solution that enables you to run AI workloads across different cloud providers without moving your data.
  • The platform eliminates vendor lock-in and costly egress fees through S3/GCS compatibility, giving you the freedom to choose the GPU and pricing that best fits your project.
  • You can scale training, fine-tuning, and inference tasks without infrastructure headaches, while maintaining performance equivalent to native cloud storage.

Frequently asked questions

How does Lightning AI help avoid vendor lock-in?
Lightning AI provides a cloud-agnostic solution that lets you run workloads across multiple cloud providers without being tied to a single vendor. You can choose the GPU and pricing option that best suits your project.
What storage compatibility does Lightning AI support?
Lightning AI supports S3/GCS compatibility, meaning you get performance equivalent to native cloud storage while avoiding costly egress fees.
What AI tasks is Lightning AI suitable for?
Lightning AI can be used for model training, fine-tuning, and large-scale inference tasks without requiring you to manage infrastructure.

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