Tarantella is an open-source, distributed Deep Learning framework designed to speed up the training of deep neural networks, while providing seamless integration with existing sequential training codes.
Built on top of the TensorFlow library, Tarantella relies on its intuitive Keras interface to describe deep learning models and training workflows.
Tarantella is easy to use and does not require any parallel computing expertise.
SCALABLE DNN TRAINING
Tarantella allows you to speed up your AI workflows by providing
scalable Deep Neural Network training on multi-GPU and multi-node systems.
USER FRIENDLY
Tarantella comes with a simple, minimalistic API that abstracts away any parallel computing details. It provides a rich technical documentation and tutorials to quickly get started.
EASILY INTEGRABLE
Tarantella supports the full Keras API of TensorFlow and lets you easily integrate distributed training in your existing workflows.
REPRODUCIBLE RESULTS
Tarantella takes automatic care of the distribution of data and computation in such a way that serial results are reproduced.
OPEN-SOURCE
Tarantella is a community-driven, open-source framework that builds
on top of TensorFlow.
PLATFORM- and VENDOR-
INDEPENDENT
Tarantella supports CPU and GPU clusters, independently of the hardware type and vendor.
Transformer (big) on NVidia V100 GPUs
Tarantella provides strong scalability using data parallelism on models like ResNet-50 and Transformers. It reaches speed-ups of up to 50x on GPU and CPU clusters.
ResNet-50 on NVidia V100 GPUs
ResNet-50 on Intel Skylake CPUs
Tarantella integrates seamlessly into your existing TensorFlow / Keras model.
You only need to add two lines of code!
Tarantella provides an easy-to-use command line interface.
Run your DNN through Tarantella to start distributed training!
Tarantella integrates seamlessly into your existing TensorFlow 2/ Keras model. You only need to add three lines of code
