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Arimo Leverages Alluxio’s In-Memory Capability, Improving Time-to-Results for Deep Learning Models - Blog | Alluxio
https://www.alluxio.com/blog/arimo-leverages-alluxios-in-memory-capability-improving-time-to-results-for-deep-learning-models
Arimo Leverages Alluxio’s In-Memory Capability, Improving Time-to-Results for Deep Learning Models. Nov 25th, 2016. This post is guest authored by our friends at Arimo. Distributed Deep Learning on Spark with Co-Processor on Alluxio. At the 2015 Strata Hadoop World NYC, we presented. Fig1 Co-Processor on Alluxio Architecture. Process A (Compute Gradients): Spark workers compute gradients and handle data-parallel partitions. This design allows us to avoid:. As a result, we are able to speed up the model t...
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Conceived the term “adaptive analytics” and correlative positioning copy to distinguish the client from other companies selling a simplified business intelligence solution. Positioned this India-based IT solutions provider as “not just another India-based IT solutions provider.”. A cloud based provider of medical IT services in Australia needed clear simple text to break through. Created a breakout presentation that showcases this contract manufacturer as an innovation leader in a mature market. Tis MIT ...
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Portfolio – Andreessen Horowitz
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