Drug Discovery

Traditional lab-based drug screening takes years, but AI models like Transformers, GNNs, and MLPs accelerate the process by virtually screening large molecular libraries. Deep neural networks have proven highly effective, drastically cutting development time. The CS-2 system, in collaboration with customers, has achieved a 50x speedup—reducing screening from 183 days on a GPU cluster to just 3.5 days. This six-month acceleration brings cures faster.

Text and Language Modeling

Neural networks like BERT and GPT can model semantic relationships within records, reports, and scientific literature, so you can instantly answer questions using this database of knowledge.

Today, the compute resources and expertise needed to efficiently work with large language models – such as BERT and GPT – and massive real-world text databases are only available in hyperscale datacenters. With a single CS-2, your organization can train models like these in hours or days rather than weeks or months.

Genomics and data science

Neural networks like BERT and GPT can model semantic relationships within records, reports, and scientific literature, so you can instantly answer questions using this database of knowledge.

Today, the compute resources and expertise needed to efficiently work with large language models – such as BERT and GPT – and massive real-world text databases are only available in hyperscale datacenters. With a single CS-2, your organization can train models like these in hours or days rather than weeks or months.