A new developer journey, Accelerate training of machine learning algorithms, will show developers how PowerAI provides the fastest way to train Machine Learning Algorithms using Google’s TensorFlow.

The hope is that this journey will get developers interested in Power architecture and either subscribe to a virtualization service like Nimbix or purchase Power architecture. There’s another obvious play here: companies with aging infrastructure that already have Power systems laying about and possibly more unused than in the past can now put those machines to work and leapfrog their competition in terms of speed by having them leverage PowerAI to more efficiently training machine learning algorithms.

In this Journey, a single Nimbix session is offered free to the interested developer, and it contains a ready-to-train Predictive Analytics machine learning algorithm that will attempt to surmise if there is any correlation between disparate news sources, analyzed for sentiment using Watson Natural Language Understanding, and Nasdaq Green Index Fund closing level.

It’s a fun guide that will quickly and easily illustrate the value proposition of PowerAI with TensorFlow and we hope developers enjoy it.

1 comment on"Power architecture has a new purpose thanks to PowerAI and TensorFlow"

  1. […] Uno de los aspectos que hacen más interesante a TensorFlow es que Google decidió liberarlo como software libre bajo licencia Apache 2 a finales de 2015. Desde entonces, el impacto de TensorFlow en la comunidad ha sido enorme, convirtiéndose en la piedra angular de multitud de nuevos productos innovadores que se apoyan en esta tecnología de Google sin coste adicional. Desde startups de Silicon Valley hasta grandes corporaciones están usando TensorFlow en sus proyectos. Algunos ejemplos son Uber, Airbnb, Twitter, Airbus o IBM. […]

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