AI Infrastructure
The One Convergence™ team has extensive expertise in the open source software that drives the next generation of hardware technologies
We can develop or enhance your AI infrastructure, and can even improve your product development & testing activity
If our DKube™ MLOps application doesn’t quite fit your current environment, we can quickly extend its capability. We can:
- Add data sources or storage elements
- Add more authentication / authorization frameworks
- And more...all the way to creating an entirely new workflow that does exactly what you want
One Convergence can customize frameworks such as:
- Kubeflow
- MLFlow
- TFX
We can take your model development flow and automate it through:
- Kubeflow Pipelines
- GitHub Actions
We can develop and optimize your inference capabilities through:
- Inference pipelines
- Scalable and resilient deployments
- Model monitoring
New hardware platforms and devices are continually being developed to enhance your deep learning capability. We can develop software drivers to enable new hardware.
Models are typically converted from standard frameworks such as TensorFlow or PyTorch to hardware specific code. We can develop custom modules in frameworks such as:
- Facebook Glow
- TVM
One Convergence can work with your domain experts & data science teams to optimize and productize your models for frameworks such as:
- TensorFlow
- Scikit Learn
- PyTorch
- XGBoost
