Quivr provides retrieval augmented generation for integrating generative AI into apps, with support for multiple models and vector stores.
Velda
Velda - Run GPU training and batch jobs instantly from your dev environment, no code change or manifest.
About Velda
Velda is a serverless GPU cloud for running training and inference jobs from a development environment. It uses a vrun prefix with any command to run jobs on cloud or cluster resources, without image builds or manifests. Velda provides browser-based VS Code access or connection with existing IDEs, prebuilt templates, and on-demand CPU/GPU provisioning so compute is used when jobs run rather than during coding. It offers a managed cloud option with instant VS Code and GPU access plus a free monthly credit, and enterprise options for self-hosted or dedicated infrastructure with premium support.
Key features
- Run commands via vrun prefix from a local dev environment
- No image builds or manifests required
- Launch VS Code in browser or connect existing IDE
- Prebuilt templates, including a PyTorch ML template
- Provision compute when jobs run, not during coding
- Managed cloud or self-hosted/dedicated enterprise options
Best for: Developers and small teams who need on-demand GPU compute for training, serving, or data pipelines without container or cluster management.
Good for
- Avoids container and cluster management overhead
- Compute resources are provisioned while jobs run
- Jobs can run from a local dev environment using vrun
Watch out for
- Specific pricing is not stated on the homepage
- The amount of the free monthly credit is not specified
- Self-hosted or dedicated enterprise deployment requires booking a demo
Velda at a glance
- Website
- velda.io
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Velda FAQ
How do I run a job on Velda?
Prefix any command with vrun, for example: vrun -P h200-1 python train.py.
Do I need to build container images or write manifests?
No. The homepage states there are no image builds, no manifests, and no dependency drift.
What development environments can I use?
You can launch VS Code in your browser or connect with your favorite IDE. Prebuilt templates are available and can be tailored to your workflow.
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