• Nobody Likes Waiting

    854 views 6 months ago
    Eric is the Head of IT. He has been under increasing pressure as the computational needs of the company have constantly been growing across business lines. Regulatory requirements are a particular headache.

    Alex leads a financial engineer team. “Computation is our bottleneck!” he says. ”We miss opportunities, because we can’t compute fast enough, and need to cut corners in accuracy.”

    Alex finds a perfect solution: Techila! Everybody can still work on their favorite computational platforms for modeling and analytics: MATLAB, Python, R script, C/ C++/ C#.

    Chief IT Architect is happy. Techila distributed computing solution was straightforward to deploy and has been very easy to operate. It supports also future scalability.

    Eric is even happier. Business users got the hang of Techila in just one day, and now faster computations are the only difference that they see. Techila is running smoothly, and users across business lines are delighted with their new abilities.

    How could your company benefit from Techila? Invite us over for a demo and we can find that out together.

    Techila Technologies - www.techilatechnologies.com

    Video: Tussitaikurit Oy / Marker Wizards Ltd. Show less
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  • Techila demo - Rocket speed to popular computing envionments Play all

    Technical demos about using Techila in some popular programming language environments.

    Techila is distributed computing middleware integrates with MATLAB, R, C/ C++, C#/ .NET, Java, Perl, Python, Fortran. Techila can be used also directly from the Command Line, even with precompiled binary files.
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  • Techila with MATLAB Tutorials for Beginners Play all

    Marko Koskinen from Techila Technologies' Support Team delivers a series of tutorial videos on how to use Techila HPC middleware to speed up MATLAB applications without MPI or CUDA programming skills.

    With the Techila solution you can scale out your desktop MATLAB to servers or cluster nodes in your Intranet, computing resources in a cloud, or you can even establish a hybrid system which scales from on-premises server to the cloud; Microsoft Azure, Amazon EC2, Google Compute Engine.
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