PoplarML simplifies the deployment of scalable machine learning models to production with minimal engineering effort.
How PoplarML can help you:
- Enables the deployment of production-ready, scalable ML systems with minimal engineering effort.
- Offers one-click deploys to seamlessly deploy ML models to a fleet of GPUs.
- Provides real-time inference capability through a REST API endpoint.
- Framework agnostic platform that supports Tensorflow, Pytorch, or JAX models.
Why choose PoplarML: Key features
- One-click deployment to a fleet of GPUs.
- REST API support for real-time inference.
- Compatibility with major ML frameworks including Tensorflow, Pytorch, and JAX.
Who should choose PoplarML:
- Developers seeking minimal engineering effort in deploying scalable ML systems.
- Teams looking for a framework-agnostic solution for ML model deployment.
- Organizations needing real-time inference capabilities for their ML models.
