Deep Learning

Machine learning R&D, especially in the field of Deep Learning, attempts to mimic the neural networks of the brain to complete human-level tasks such as image recognition and natural language processing. Deep Learning is extremely compute-intensive and requires state-of-the-art graphics processors. Research is typically constrained by expensive specialty hardware. Rescale's platform supports popular deep learning software packages and provides unlimited, pay-as-you-go access to the latest GPUs so organizations can stay on the cutting edge of R&D. An intuitive, web-based workflow and excellent customer support make setup and execution easy.

Get $50 Credit
Get $50 Rescale credit to run TensorFlow, Torch, and other Deep Learning applications now.

Rescale is optimized for machine learning on the cloud with:

  • HPC hardware: K80 GPUs, Skylake processors, InfiniBand interconnect, 1TB+ RAM
  • State-of-the-art machine learning software: All the latest versions of popular libraries, including TensorFlow, Keras, Caffe, Torch, Chainer, Nolearn, and Pylearn. All configured to run on GPUs out-of-the-box.
  • Flexible interactive and batch training interfaces: Interactive modeling and visualization in Jupyter notebooks, automated model batch training via Rescale's API
  • Tools for large datasets: File transfer tools for efficiently uploading large training datasets, fast and easy access to many public datasets

Setting up your algorithms and configuring hardware is quick and easy with Rescale. Just upload your input file, select your software, select your hardware, and you're up and running in minutes.

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