Keynote: The Value of Open Source for the Enterprise

on YouTube ↗05m

" summary

IBM commits PyTorch as a core of Watson X to standardize inference, tuning and training with reusable building blocks that let platforms optimize across the stack. The plan integrates with Kubernetes and OpenShift to deploy across hybrid clouds and on‑prem, supports GPUs and ASICs for flexible hardware choices, and aims to avoid vendor lock-in while accelerating generative AI adoption. The tangible claim is faster, interoperable model delivery and platform optimization.

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