NVIDIA RAPIDS AI
Rating: 10 out of 10
IncentivizedUse Cases and Deployment Scope
NVIDIA RAPIDS helps us create an integrated pipeline process to monitor, design, and deploy deep learning models internally and externally. It is also easy to deploy our services on-premises in our customer's datacenters. The integrated visualization "area" is excellent for instantly running and using detailed data. NVIDIA RAPIDS allows us to be focused on creating value for our customers, avoiding reinventing the wheel.
Pros
- Visualization
- Deep learning pipeline
- State of the art libraries
Cons
- GPU restart failure is a tricky bug
Likelihood to Recommend
NVIDIA RAPIDS is great for integrated and planned machine learning and deep learning journey. It is excellent if you have big data with defined processes to be improved and monitored. It is less effective if the project is continuously changed and the data are to be prepared and cleaned a lot and [in] many different ways.