Running AI coding workloads needs more than a server. CodeEasy provides the secure execution environments, compute and tooling that make AI development reliable at any scale.
Isolated, ephemeral environments where agents and generated code can build, run and test safely — with zero impact on production.
On-demand CPU and GPU capacity that scales from a single build to thousands of parallel jobs without queueing.
Managed model hosting and inference optimized for low-latency code generation and review workloads.
Drop-in connectors for your existing pipelines, version control and deployment tooling.
Built-in logging, metrics and tracing so you always know what ran, when and why.
Role-based access control, audit logs and policy controls designed for regulated teams.
Run CodeEasy infrastructure on our managed cloud, in a hybrid setup, or fully inside your own virtual private cloud. Your data and source code stay where your policies require.
| Capability | Managed Cloud | Hybrid | Private VPC |
|---|---|---|---|
| Fast setup | Yes | Yes | Guided |
| Data residency control | Region select | Yes | Full |
| Bring-your-own-key | Optional | Yes | Yes |
| Dedicated tenancy | — | Yes | Yes |
| Best for | Startups & teams | Scale-ups | Enterprise & regulated |
Tell us about your security and scale requirements and we will recommend the right setup.
Talk to an Engineer