NVIDIA Workbench for seamless local, data centre and cloud deployment

Model Mobility

NVIDIA Workbench for seamless local, data centre and cloud deployment

NVIDIA Workbench is a powerful, cloud-native development platform designed to simplify AI workflows across local, data centre, and cloud environments, allowing users to move their model to wherever it needs to be.

Workbench streamlines the process of building, testing, and deploying AI models - the perfect companion for SCAN’s hardware and cloud AI solutions.

With Workbench and SCAN Cloud, users can enjoy spin-up containerised workspaces tailored to specific projects, ensuring reproducibility and consistency across teams and infrastructure.

Use WORKBENCH to access Scan Cloud

Want to Develop, Train, and Inference in SCAN Cloud? Workbench makes it easy.

Diagram illustrating SCAN Cloud and Workbench integration

Learn more about Workbench

NVIDIA AI Workbench is designed to simplify AI development, allowing creators and developers to work within a single, seamless environment. With AI Workbench, developers can build, test, and deploy models smoothly, whether they're on a local laptop, in the cloud, or in a high-performance datacentre.

Why not migrate to SCAN CLOUD?

SCAN provide data scientists, developers, and end-users with all the GPU hardware required to develop, train, and deploy inferenced solutions at scale.

With all environments accessible via NVIDIA Workbench, see how our ecosystem of products and services provides everything you need for creating AI solutions.

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