DataRobot - AshokBhat/ml GitHub Wiki
About
- Enterprise AI platform
- Automates the end-to-end process for building, deploying, and maintaining AI at scale.
Pricing on AWS
- DataRobot Automated Machine Learning for AWS
- MLDev & MLOps
- For 5 users (user limit) + 10 model workers + 5 models deployed
- $65,000 per year
Usage of CPU vs GPU
From https://community.datarobot.com/t5/platform/gpu-acceleration-on-data-robot/td-p/7814
DataRobot has invested significant R&D dollars into allowing neural networks to run performantly on commodity CPUs.
For example, DataRobot has created a unique, patented method of transfer learning for computer vision that does not require GPUs.
We've also found that for many real world tabular datasets, neural networks on CPUs perform just fine and allow us to avoid passing along the additional costs of GPUs to our customers.
The longer answer is that clearly some tasks, e.g. fine-tuning pre-trained neural net models for computer vision or NLP, do require GPUs. That's why we're actively researching ways to incorporate GPUs into our platform that allow users to utilize them when required but don't dramatically increase the cost.