GPGPU on AWSPart 2/2: Installing CUDA 7.5 on Ubuntu 15.04 AMI
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GPGPU on AWSPart 1/2: Selecting CUDA and Linux Distro by version
Clouds
BIM, OpenBIM & Cloud Service
Review: Microsoft Azure Machine Learning Studio
In our last article we wrote about how Cloud Gaming or Gaas progressed since the first introduction of the term back in 2013. Today is a though about two players which synthetize perfectly two singular approach of this business: NVIDIA and SHINRA.
Following our article on graphic hardware accelerated solution for the cloud we would like to come back on the cloud gaming landscape today to grasp its progress 2 years now from its first introduction.
Shall we say "Watson for the rest of us"? With the launch of their cloud services IBM propose a set of services defined as Watson. In 2011 the famous AI or more exactly cognitive-data process won the American television game Jeopardy as proof of concept of its ability.
ORBX is a technology developed to bridge clouds and clients independently of the device. ORBX was born from a partnership between Otoy and Mozilla, then consolidated by the foundations between Otoy, Autodesk, Nvidia and Amazon.
Using clouds for large data parallel processing offers cost and maintenance advantages. On another hand, GPGPU is often required as the best solution for optimization, especially when machine learning is involved.
All the 3D around the web is low-resolution, low-polygon, low-antialiasing based solution. In an other side off line CG rendering is all about high-resolution hight spec image processing. Between those two limits nothing exist. Well, not exactly,
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