From "Waiting for GPUs" to a Production App in a Day

Therna Biosciences uses its RNA-Logix platform to apply AI-driven iterative design to RNA therapeutics, generating and ranking large numbers of mRNA, ASO, and siRNA candidates before laboratory testing feeds results back into subsequent model training. The company reported that its early single-cloud infrastructure created delays, high H100 GPU costs, unreliable notebook sessions, and low GPU utilization, while its AI lead also had to manage both research and infrastructure. By adopting Lightning AI, Therna says it gained access to multi-cloud GPU capacity within seconds, reduced compute costs by 60 to 80 percent, preserved development environments across sessions, and improved GPU utilization through optimization support. A notable example was the development of a Boltz-2-based application for structure prediction and ligand screening, which the company says was built and deployed in one day rather than the weeks such work previously required. Therna emphasizes that faster, cheaper, and more reproducible computing supports more rapid experimentation, although researchers continue to validate model outputs and oversee therapeutic development.

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