FlexAI is a platform for managing compute for artificial intelligence workloads. It helps teams run and distribute AI jobs across different hardware architectures without complex infrastructure setup. By reducing dependence on specific chips or servers, FlexAI makes it easier to use available compute resources efficiently from a single interface for launching, monitoring, and managing machine learning tasks.
Common use cases
- Processing large datasets on hybrid server environments
- Reducing compute costs in AI and ML projects
- Speeding up neural network training without changing hardware
- Lowering data center energy consumption
How to use
- Upload your model and choose the appropriate compute type for the job
- Let the platform automatically allocate workloads across available resources
- Connect multiple servers with different architectures for more complex projects
- Use the API to integrate compute management into your own systems
