Managed Environments
A complete working environment, delivered and run for you
The whole stack, tools included, managed end-to-end — ready-made developer, AI/GPU, and lab environments your teams can work in from day one.
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What teams are dealing with
Before your technical teams can do the work, someone has to build the environment for it — provisioning dev machines, standing up GPU boxes for AI, configuring lab and training setups, then keeping them all consistent, patched, and secure. That setup and upkeep is effort your organisation absorbs, and it comes straight out of the time meant for the actual work.
Everything, delivered and managed
- 01 Ready-made Dev, AI/GPU, and Lab environments — delivered configured and ready to use.
- 02 The whole stack managed end-to-end — provisioning, updates, security, and operations handled for you.
- 03 Run on infrastructure you already have — your own servers, GPUs, or cloud account — or on ours, managed the same way wherever it runs.
- 04 A ready-to-work stack — notebooks, frameworks, and drivers (e.g. Jupyter, CUDA, common ML libraries) preconfigured, with no environment setup.
- 05 Consistent for everyone — every developer, researcher, or trainee gets an identical, reproducible environment.
- 06 Data stays close and controlled — fast shared and object storage next to the compute, inside your security boundary.
- 07 Pipelines and tooling integrated — connect to your Git, CI/CD, and registries so build, test, and staging pipelines run inside the managed environment.
// best_fit
Development, data science, AI, research, training, and lab teams that want their environment delivered and run for them instead of building it themselves.
Explore related scenarios
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Start with the right solution for your teams
Tell us about your teams and systems, and we'll help you map the right DigiEdge Workspace solution — and how it would deploy in your environment.