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If you’re building large-scale AI, you’re already multi-cloud by choice (to avoid lock-in) or by necessity (to access scarce GPU capacity). Teams frequently chase capacity bursts, “we need 1,000 GPUs for eight weeks,” across whichever regions or providers can deliver. What slows you down isn’t GPUs, it’s data. Simply accessing the data needed to train, deploy, and serve AI models at the speed and scale required – wherever AI workloads and GPUs are deployed – is in fact not simple at all.  In this article, learn how Alluxio brings Simplicity, Speed, and Scale to Multi-GPU Cloud deployments.

Turn your existing S3 storage into an AI-ready storage layer with sub-ms latency and terabytes per second throughout per Alluxio cluster with linear scalability — no data migration required.