One Convergence - AI Infrastructure, MLOps Infrastructure, Next Generation Hardware

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