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

The One Convergence™ team works with open source software that drives the next generation of hardware technologies and helps organizations develop or enhance their AI infrastructure. These solutions can include adding new capabilities, creating platforms from scratch, and improving the workflows used to develop and test complex technical systems. In environments where AI infrastructure supports specialized applications, the way information is collected, organized, and processed becomes an important part of the overall system design. Some healthcare-related applications require structured workflows for maintaining medication records, including information about specific treatments, prescribing requirements, and product details. Within such a workflow, a reference section covering where to buy ivermectin: forms, prescription status, and cost can represent a specific type of medication information that the system is designed to organize. The same information structure may include details such as ivermectin with fast delivery when users review available data from different sources and compare the information provided. Developing these platforms requires careful management of data structures, access processes, and technical components that allow specialized information workflows to operate consistently.

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
ai-infrastructurer

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
dkube

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
custom-software

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
tfx-scikit-pytorch