Power of high performance computing for everyone.

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Efficient high-performance computing

Techila Distributed Computing Engine is a next generation compute grid. It enables efficient high-performance computing without leaving your favorite language and environment. Techila APIs integrate scalable computing power seamlessly into research and development tools.

MATLAB®PYTHONR LANGJULIA

Simplified use of infrastructure

Brings HPC capabilities to companies for which the cost and complexity for end-users would otherwise be prohibitive.

User-friendly abstraction

Interactive computing, without leaving your favorite language and environment. Simple to use, with all the complexity hidden from the end user.

Platform-agnostic

Truly platform-agnostic, plug-and-play agile HPC solution with significantly lower TCO that enhances, not replaces, existing systems.

Patented autonomic computing technology

Techila Distributed Computing Engine is a full stack solution that has everything you need included.

Get to know the product

Contact us to learn more

Techila Distributed Computing Engine is available with an enterprise license and as a pay-as-you-go cloud solution. The enterprise license, available directly from Techila Technologies, can be used with on-premises servers, private clouds, or in a hybrid cloud IT scenario.

Contact sales

University of Pittsburgh
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With Google Cloud and Techila, Sharifvaghefi ran the simulations on 40,000 spot vCPUs. “This would have been impossible on shared campus resources,” he says. Pasquini agrees, adding that deploying Google Cloud and Techila was like “providing an easy button.”

Brian Pasquini, Enterprise Architect

UNC Chapel Hill
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“By employing an imaging acceleration technique, we can reduce the scan time but patients and doctors need to wait longer for image reconstruction. With the computational acceleration of Techila and GCP that issue could be greatly alleviated.”

Wei-Tang Chang, Senior Research Associate, UNC Chapel Hill

Bank of Finland

"Without Techila it would have been practically impossible to finalize the project."

Project team, Bank of Finland

Cargotec
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“The role of computing is critical in MacGregor’s business. Nearly all marine structural components are custom designed for a specific application. Tendering stages are quick, and producing a price quote and an initial design proposal need support from the computing. ”

Jouni Lehtinen, Project Manager, Cargotec Finland

How it works

Step 1. Deploy your TDCE environment

Techila Distributed Computing Engine is available in AWS Marketplace and Google Cloud Marketplace.

Deployment is done with a couple of mouse clicks and everything will run in your own cloud account. 

Step 2. Access the Techila dashboard

The Techila Dashboard is a web interface that runs on your Techila Server.

You can access it via your browser to download the Techila SDK to your development computer and to provision cloud computing capacity.

Step 3. Make code changes

The Techila SDK contains APIs for several popular programming languages, such as Python, MATLAB, Julia, R and .NET.

You can use these APIs in your code to scale out the computationally intensive parts.

Step 4. Start capacity and run your code in TDCE

After making the code changes, you can start computing capacity using the Techila dashboard and run your code.

Compute nodes will be automatically configured based on your application's requirements and process the parallel workload.

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