Faster and Scalable ML Applications
GPUs are useful resources for compute-intensive and highly parallelizable operations tasks such as streaming and parallel computing. However, they aren’t well adept when working with large data sets and inefficient resource management generates heavy expenses.
Data Science Platform with GPUs
- Large scale processing on GPUs
- Extreme performance with serverless
- Shared GPU resources
- Fully managed data science PaaS