We took the chance and did a second Channel 9 recording on our GPU accelerated Machine Learning project in the Microsoft offices at Time Square New York City. It was a great experience to do the recording with Seth Juarez. Many thanks Seth!
There exist already several deep learning libraries but none of them targets .NET. Alea TK is a new open source project that aims to develop a complete GPU accelerated deep learning stack for .NET. It is built on top of Alea GPU and is designed from ground up to be GPU accelerated, easy to extend and to deploy. It is in an early phase. Contributors and developers are welcome! The recording explains why we started the project and what we plan to do with it in the future.
Check out Alea TK on our project web site and on GitHub.
We were very happy to do a Channel 9 recording for our new Alea GPU version 3 in the Microsoft offices at Time Square New York City. It was a great experience to do the recording with Seth Juarez. Many thanks Seth!
GPU computing is all about number crunching and performance. Do you have a lot of parallel calculations? Then try to use GPU with C#. With the new Alea GPU parallel GPU methods it is as easy as changing a few lines of code to utilize the power of GPUs. No GPU in your box? Don’t worry, you can get them from Azure or other cloud providers. I explained how easy it is to run C# code on the GPU, with full debugging support in Visual Studio.
Check out Alea GPU on our product web site.