This video is originally published on TechArena.
At NVIDIA GTC 2025, Bin Fan from Alluxio and Scott Shadley from Solidigm tackled the growing need for decoupled storage and compute in AI infrastructure. They explained how Alluxio's caching layer enables fast, scalable and reliable infrastructure, accelerating AI training and inferencing seamlessly across regions and platforms.
This video is originally published on TechArena.
At NVIDIA GTC 2025, Bin Fan from Alluxio and Scott Shadley from Solidigm tackled the growing need for decoupled storage and compute in AI infrastructure. They explained how Alluxio's caching layer enables fast, scalable and reliable infrastructure, accelerating AI training and inferencing seamlessly across regions and platforms.
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In this talk, Bin Fan, VP of Technology at Alluxio, explores how to enable efficient data access across distributed GPU infrastructure, achieving low-latency performance for feature stores and RAG workloads.