Open core. Free to start. Managed or on-prem when you scale.
Open Source
Community Edition
core, on GitHub
The heart of Deep Netts, developed in the open. Clone it, read it, build with it.
- Pure Java deep learning engine
- Open core of the Deep Netts platform
- Free for learning, research, and building
- Community support on GitHub
Free Edition
For small production use
one production environment
The full accelerated platform, free to run in one real production deployment while your product is small.
- Everything in Community Edition
- CPU acceleration via the Vector API
- GPU acceleration via CUDA
- Visual AI Builder
- Source code and license included in the download
One production environment · Annual revenue from the product using Deep Netts under $100,000 · Not offered as a hosted AI platform, managed service, or SaaS
Get StartedManaged Service
Fully managed, on our cloud
per compute hour
Deep Netts run for you on our infrastructure – training and inference billed like cloud compute, by the hour. No license, no setup, no ops.
- Everything in Enterprise Edition
- Runs on our infrastructure – nothing to install
- Pay per compute hour, like a cloud instance
- Scale training and inference up or down
- Updates, monitoring, and operations handled by us
Enterprise Edition
On-premises, your infrastructure
tailored to your deployment
Installed in your own environment under an enterprise license. Scale and support for companies whose product earns more than $100,000 a year.
- Everything in Free, without revenue limits
- Multiple production environments
- SaaS and hosted deployment rights
- Technical support and maintenance
- Service-level agreements (SLA)
Compare editions
| Feature | Community | Free | Managed Service | Enterprise |
|---|---|---|---|---|
| Platform | ||||
| Core Deep Netts API | ||||
| Neural network training | Basic | |||
| Model inference | Basic | |||
| CPU execution | ||||
| Vector API acceleration | ||||
| FFM API GPU / CUDA acceleration | ||||
| Advanced performance optimizations | Limited | |||
| Visual AI Builder | ||||
| Usage rights | ||||
| Commercial use | GPL only | Limited | ||
| Production use | Limited | |||
| Infrastructure & deployment | ||||
| Company / customer infrastructure | ||||
| Deep Netts-managed infrastructure | ||||
| AWS deployment | Self-managed | Self-managed | Deep Netts managed | Self-managed |
| Oracle / Azure / GCP | Self-managed | Self-managed | Self-managed | Self-managed |
| On-prem deployment | ||||
| Private cloud | ||||
| Support & updates | ||||
| Updates | Community | Standard | Managed | |
| Basic support | Community | Community | ||
| Enterprise support | Optional | |||
| SLA | ||||
| Priority fixes | ||||
| Enterprise | ||||
| Enterprise security features | ||||
| Audit / governance capabilities | ||||
| Custom integrations | Paid | Paid | ||
| Professional services | Paid | Paid | ||
The Community Edition license lives in the GitHub repository; for Free and Enterprise, the End User License Agreement included with the download is the authoritative source for all terms. Managed Service is billed per compute hour under a service agreement.
Licensing FAQ
What's the difference between Community and Free?
Community Edition is the open source core – the pure Java engine, developed in the open on GitHub. The Free edition adds the accelerated engine (Vector API on CPUs, CUDA on GPUs) and the Visual AI Builder, free for one small production deployment.
Can I evaluate Deep Netts for free?
Yes. Development, testing, and evaluation are always free – the conditions of the Free edition only apply once you deploy to a production environment.
Managed Service or Enterprise Edition – which one is for us?
Both give you the full platform without limits. Enterprise Edition is a license: you install and run Deep Netts on your own servers or cloud account, and we support it. Managed Service is the same platform run by us on our infrastructure – you pay per compute hour, like a cloud instance, and never touch the setup.
How is the Managed Service billed?
Like cloud compute. You pay for the hours your training and inference workloads actually run, on the instance size you choose. There is no license fee and no minimum commitment – write to us and we will size it with you.
Can the managed platform run inside our own cloud?
On request. For teams that need the data to stay in their own VPC, we can run and operate the managed platform inside your private cloud – your infrastructure, our platform and operations. Contact us for details.
Where can I read the full license terms?
The Community Edition license is in the GitHub repository. For Free and Enterprise, the End User License Agreement ships with every download and is the authoritative document. If anything is unclear, write to contact@deepnetts.com.
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