Power ML with a workflow optimized, dynamic resource automation and acceleration. At the heart of workflow automation is raptIQ™, a “model aware learning system” which transforms any infrastructure to fit to model needs dynamically.
Maximize GPU utilization
More model trainings and experiments.
Cloud bursting - Your data your infrastructure choice
When using hybrid clouds for scale and economics, rapt manages “data privacy” with no data at rest in cloud.
No code changes
To use rapt, write your model, specify your framework, datasets and hit enter.
Transparently use any AI accelerators (GPUs, FPGAs, TPUs, ASICs). Rapt auto selects and optimizes stack in real time for any accelerators.
Effective shared GPU allocations
Maximize your ROI. rapt automatically “shares” multiple trainings concurrently in shared virtual pool, No guess work, presets required.
Auto manage application inferences
Highly parallel app inferences. Execute many apps in parallel in single compute. Set app requirements like latency, cost, variants with High availability and On-demand spinning of resources.
Integrate with any tool.
Continuously optimized infrastructure that
exactly meets your AI application needs, variants and unpredictability
Amazon Web Service