Case Study: TruDiagnostic trains AI models 10x faster and cuts cloud costs 60% with Posit Workbench and AWS SageMaker

TruDiagnostic trains AI 10x faster and cuts cloud costs 60% with Posit PBC

TruDiagnostic, a leading epigenetic testing company, faced significant infrastructure challenges while managing the world's largest DNA methylation dataset. Their team was fragmented across different tools like RStudio, Jupyter, and SageMaker, creating language silos and an engineering bottleneck that slowed their research and model training. This hampered their ability to scale efficiently to meet growing demand.

By implementing Posit Workbench on Amazon SageMaker, Posit provided a unified environment that seamlessly supported both R and Python. This solution empowered scientists to independently scale their computational resources on demand. The results were transformative: TruDiagnostic saved a full year of product development time, achieved a 10x performance improvement in model training, and cut their cloud infrastructure costs by 60%.

TruDiagnostic