Problem It becomes increasingly more popular among data scientists to train models based on frameworks like TensorFlow on a local server or cluster while using remote shared storages like S3 or Google Cloud Storage to store a massive amount of the input data. This stack provides high flexibility and cost efficiency, especially requires no dev-ops … Continued
Tag: machine learning
See how AVA’s deep learning platform is based on Alluxio in Quiniu AI Lab.
Quantitative hedge funds process large data sets with sophisticated financial models to drive investment decisions. Machine Learning is used to continuously improve models and maximize financial return. One firm with billions ($US) of assets under management turned to Alluxio to address the performance and cost challenges of large scale data processing in a hybrid cloud … Continued
Flexible and Fast Storage with Alluxio for Deep Learning Introduction In the age of growing datasets and increased computing power, deep learning has become a popular technique for AI. Deep learning models continue to improve their performance across a variety of domains, with access to more and more data, and the processing power to train … Continued
This post is guest authored by our friends at Arimo. Deep learning algorithms have traditionally been used in specific applications, most notably, computer vision, machine translation, text mining, and fraud detection. Deep learning truly shines when the model is big and trained on large-scale datasets. Meanwhile, distributed computing platforms like Spark are designed to handle big … Continued