Techila Distributed Computing Engine allows running parallel Python computations at a massive scale, scaling to 10,000s CPU cores.Contact us
Scale out to the cloud by making small modifications to your Python code by using programming language specific APIs in the Techila SDK.
Techila APIs can be used from any IDE, be it Jupyter notebook, PyCharm, Visual Code, or Vim. Learning new tools is not required.
Be up and running on 10,000s vCPUs in under 2 minutes. Capacity will be configured automatically to match your Python workloads.
Techila Distributed Computing Engine integrates seamlessly with your existing Python IDE.
Computations are automatically scaled out to the cloud by using the @techila.distributable decorator in your Python code.
Conda support. Portable Conda environments ensure that all of your favourite packages are always available.
Container support. Easily lift and shift complex execution environments to the cloud using containers.
Interactive result handling. Results are automatically made available in your IDE.
Techila Technologies’ expert engineers can help you to deploy our high throughput middleware into your production workflows and application environment. This ensures your solution goes live quickly, maximising your productivity and minimising time to market. To discuss your services requirements without obligation, please contact Techila Technologies.Contact us