Cloud, on-premise, or at the edge – Modzy can deploy anywhere
Modzy platform can deploy on any infrastructure and integrates seamlessly with your existing AI applications. Modzy fully supports both cloud and on-premise deployments, and every facet of Modzy’s architecture is optimized for different deployment scenarios
Whether you have a public cloud, private cloud, or a hybrid version, it only requires a few clicks to deploy Modzy, making it easy for you to get up and running. This also allows you to easily control the cloud infrastructure consumed during AI inference from your own cloud accounts.
- Microsoft Azure
- Google Cloud
- Cloud One
Security is of the utmost concern for many which is why Modzy can deploy on-premise to devices connected to your own firewall protected network and allow you to take advantage of existing hardware investment.
Modzy can be deployed to edge devices, increasing the speed of data processing and storage even with limited bandwidth or computing power, resulting in greater cost savings for you.
We make it easy to operationalize and scale AI into your existing applications within a matter of minutes. Don’t worry about changing your preferred way of training AI models. We’ve built integrations into your favorite tools to ensure you can quickly and easily package up and deploy your models into production scale, removing the barrier it takes to build AI powered applications.
Easy integrations with the training frameworks and tools you already use, including GPU accelerated solutions.
Tools & Pipelines
With so many free, Open-Source industry standard ML tools, accelerating your MLOps with Modzy integrations is easy.
Open Standard SDKs, REST endpoints, and libraries for many developer languages enables integration into your custom apps.
Model Training Tools and ML Frameworks
Modzy doesn’t limit you to specific toolsets. We designed the platform to deliver seamless integrations with your model development, training or workflow tool of choice from the frameworks and workbenches you use today.
- AI/ML training frameworks
- Developer workbenches
- Libraries, languages
- Simple container design to package and deploy models written in any language or framework
- Containers and workflow tools
- Cloud or on-premise infrastructure
- Hardware chip accelerations
- Capabilities including elastic scalability, CI/CD, Git workflows and API pipelining
- Integrates with ML frameworks of your choice: Jupyter notebooks, H20.ai, MLFlow, Kubeflow, NVIDIA CUDA, Amazon Sagemaker
You’ve already invested heavily in your tools so why not supercharge them with AI! Integrating Modzy with your existing tools is as simple as making an HTTP POST call. By using our HTTP API, Modzy can be integrated into just about anything from user interface applications to ETL pipelines to embedded microcontrollers and IoT devices. Every aspect of Modzy is accessible through our HTTP API and is meticulously documented to make your integration journey a quick and pleasant experience.