# Verda

> GPU cloud infrastructure for training and running AI models

Verda is a cloud platform for developers and AI teams that need GPU computing for experimentation, model training, and production inference. Users can launch NVIDIA GPU instances, connect multiple machines through high-speed clusters, or deploy containers that scale with demand. CPU instances, block storage, shared filesystems, and a container registry support the surrounding application workflow.

Teams can manage resources through the web console or API, starting with a single machine and expanding as workloads grow. Its European infrastructure supports projects ranging from early prototypes to larger training runs and deployed AI services. The separate Verda Inference API, currently in preview, provides access to open-weight models through an OpenAI-compatible interface.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/verda
- Official website: https://verda.com/
- Category: Developer tools / Cloud hosting & deployment
- Status: Launched
- Topics: Cloud computing, GPU, Inference, Machine learning, Serverless
- Listed: 2026-11-10T15:42:15.958Z
- Content updated: 2026-11-10T15:42:17.724Z
- Official source: https://verda.com/
This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.