Traditional discovery yields 0.1% success. 310 AI used high-memory GPUs to screen 150k candidates in days, reaching 67% success.
A biotech startup developing generative AI models to automate the design of therapeutic proteins, training on 3.2 billion biological data points to create new functional sequences.
Traditional structure-based discovery yields success rates of just 0.1%, while generative approaches require massive memory to model complex...
“We built MP4 on top of AMD ROCm software and PyTorch to take advantage of the large memory and high throughput of AMD Instinct GPUs.”
Generative AI platform for molecular programming and protein design.
AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.
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Navigating 10^1000 variants was impossible. A model designed novel proteins, boosting stem cell marker expression >50x over controls.
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
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