Kubernetes is a great system for handling clusters of containers (whether on cloud or on-premise), but deploying and managing containerized applications for ML can be… Read More »Speedup by 10x the Hyperparameter tuning of ML applications on Kubeflow using FPGAs
Scikit-learn (also known as sklearn) is a widely used free software machine learning library for the Python programming language. It has been adopted by many… Read More »Run 100x faster your Scikit-learn ML apps: A use case on Naive Bayes
A use case on Logistic regression training Over the last few years there are several efforts for more powerful computing platforms to face the challenges… Read More »Performance evaluation of cloud computing platforms for Machine Learning
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses… Read More »Accelerating data science and HPC applications with FPGAs using Jupyter Hub, instantly.
Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and… Read More »How to make ML engineers 5x more efficient
Machine learning applications require powerful and scalable computing systems that can sustain the high computation complexity of these applications. Companies that are working on the… Read More »How to save over $200k on your next machine learning project
Machine learning algorithms are extremely computationally intensive and time consuming when they must be trained on large amounts of data. Typical processors are not optimized… Read More »Open-source Logistic Regression FPGA core for accelerated Machine Learning