Why hAIsten
Ovecome the challenges of deep learning
Model training
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.
Model deployment
It is usual to have another 12 to 24 months of work before the model can be deployed and get into production.
hAIsten AI: Speed and agility
You are able to
- speed up your model training by 7x, saving 90% of the time for computing, and build your model within 1-2 months; and
- deploy your model with a low-code platform, with our built-in toolkits for better model inference.
How hAIsten Model Training Works
Train your model in distribution
1. Creat project
An infrastructure-optimized environment is ready for you2. Connect to dataset
Select your datasets
3. Upload your model
Upload your models based on Pytorch, Tensorflow or Keras
4. Pay as you go
Start to train your model in 7x speed on multi-GPUs
Case Studies
Faster AI development. More real-time insights.
AI in manufactorcing
Larger scale deployment for defect detection and predictive maintenance
hAIsten AI © 2021