Disclaimer: Feature availability varies by version. Always check IBM’s official documentation for the latest licensing and hardware requirements.
You can build and prototype locally on your desktop using a small sample of data. When you need 1,000 cores to train the final model, you push that exact same code to an IBM Cloud Pak for Data cluster (on-prem or in public cloud) without rewriting a single line. ibm watson studio desktop
For the past decade, the mantra in data science has been “move to the cloud.” We’ve embraced SaaS platforms, auto-scaling clusters, and shared notebooks. But what happens when your data can’t move? What if you work in finance, healthcare, or government defense, where regulatory compliance (GDPR, HIPAA, FedRAMP) or sheer data gravity makes cloud migration prohibitively expensive or legally impossible? Disclaimer: Feature availability varies by version
Enter —a quiet revolution in the enterprise AI space. When you need 1,000 cores to train the