Over the past century, diagnoses for diseases like tuberculosis infections, cancer pathology, and histology have been performed manually by doctors using microscopes. This process has not only been slow but also limited in sensitivity. However, in recent years, advancements in AI technology have brought a major turning point.

VietJet Biomedical has not only focused on developing AI algorithms but also independently designed hardware and created an automated microscope equipped with a built-in GPU-powered component capable of performing real-time medical image recognition and analysis. Hospitals simply place their slides into the automated microscope, and the built-in GPU processes the images, quickly delivering AI-driven diagnostic results.

As demand from hospitals has grown—along with the need for massive version control and fine-tuning of models—the computational burden has intensified. That’s when the DGX Station A100 becomes essential. The era of DIY setups with gaming graphics cards is over. With DGX Station A100, model training is more than 10 times faster, allowing VietJet to transform ideas for improving model performance into reality without delay. This has enabled them to help hospitals significantly improve diagnostic sensitivity with increased frequency and efficiency.

Dr. Lin Yu-Sen shared that the DGX Station A100 is incredibly powerful, offering vast untapped potential. He looks forward to leveraging the expertise of NVIDIA and FONGCON Technology to help guide VietJet's team in implementing the system and continuously refining the performance of their medical image recognition solutions.

???? Source (in Chinese): https://www.ithome.com.tw/pr/147336