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To most people, the term “techbio” simply encompasses using cutting-edge algorithms and data toward biology. But it should be a call to action to adopt successful paradigms from the tech industry into biotech—strategies like “move fast and break things,” modern organizational structures, and most importantly here, the proliferation of APIs that let others programmatically access […]

Dive into the computational demands of bio-sequence LLMs. We emphasize that while pre-training requires the most resources, both fine-tuning and prediction still necessitate significant computational power. Explores cost-effective solutions for accessing powerful GPUs.

Organizations are seeking out services like BioLM to jump-start their work. Now we can use massive genomic and proteomic information to deliver meaningful predictions in a few seconds. See how BioLM's scalable infrastructure keeps GPU costs low for biotech companies.