AI Defines Hardware
AI being data hungry presents computational requirements for hardware. Now that GPUs are able to process this scale of data, the potential for AI applications are virtually limitless. Today AI is influencing how hardware is designed and built.
Unprecedented Speed and Accuracy
Proven by benchmarks, H2O machine learning algorithms such as GLM, GBM, random forest deliver significant speed-up on model training time and inference time with ultimate accuracy on GPUs.
Visual Intelligence and Model Interpretability
AI Practitioners need to be able to interpret and understand the underlying benefits, biases or even risks in the models which are part their decision-making process.