Challenges of Deep Learning
Waiting for computing takes most of your time, and 80% of data scientists experience the same challenges as you. You will have more opportunities to test different algorithms and get better predictions if the computing time can be shortened.
It is usual to have another 12 to 24 months of work before the model can be deployed and get into production.
Faster Model Training
Get accelerated model training with multiple GPUs & test multiple algorithms within a short period.
Dashboard for Monitoring
Monitor your model training status with a real-time dashboard & manage all your models for better AI operation.
Heroic-Faith: Accelerating AI development in respiratory monitoring to save lives
Heroic-Faith is a leading medical firm that provides a respiratory monitoring system for medical professionals. With HAIsten’s AI software, Heroic-Faith trained their model distributedly on multiple GPUs. They accelerated the model training process by 300% in the optimized environment.