FlexAI at its heart is about flexibility. When it comes to model development, no single library or framework can provide all required features and performance. Besides, every practitioner is different, and their strengths can be truly unlocked only by what the tools and the respective comfort levels.
”FlexAI's biggest value are the preloaded libraries and datasets provided for Model Training with low-cost GPUs.M Reeves Sr. Data Scientist
Data Scientists, Machine Learning, and Deep Learning Practitioners should not have limitations when it comes to experimentation
Cost should not inhibit model development. Experimentation and iteration should be ideally limitless or at least reasonable when it comes to cost. We have strived to build a platform that provides a low-cost entry for Model development.
Growing catalog of libaries ranging from standard the Python ecosystem to PyTorch, TensorFlow, Deeplearning4j or H2O.ai
Supported programming languages include Python, Scala, Java, Clojure, Golang and more
Integrations for deploying models to production leveraging public Clouds such as AWS, Google, Azure
Use the platform as a hands-on extenstion to various courses such as those offered by Fast.ai