Compute is the new microscope. @nebiusai and similar AI clouds are already accelerating drug discovery, gene editing, mental health care, and cancer research in ways that were impossible a few years ago. AI isn’t just chatbots and image generators, and we have GPU clusters powering the next wave of medicine. a few examples: - @swordhealth is using Nebius AI Cloud and @nebiustf to run Dawn, a large scale AI mental health agent, and Thrive for musculoskeletal recovery. Real patients, real clinical AI, running on dedicated AI infra. - @PrimaMente trained Pleiades, the first foundation model on DNA methylation (epigenetics), on 256 NVIDIA H200 GPUs at Nebius. their goal is to help with earlier detection of diseases like Alzheimer’s and precision therapeutics that actually understand the chemical language of the genome. neuroscience at AI scale. - @CompugenInc (immuno-oncology) trained models on Nebius to predict spatial immune features in tumors. it helps them uncover previously invisible patterns that help identify new drug targets for patients who don’t respond to existing cancer therapies. from code to clinic, faster. - Helical is building “Virtual AI Labs” on Nebius. Their Helix mRNA foundation model (trained in days/weeks instead of months) turns months of wet lab work into hours of virtual experiments. Pharma and biotech teams can now personalize biology foundation models to their own data at unprecedented speed. Nebius also integrates NVIDIA BioNeMo, offers HIPAA-compliant environments, and runs the AI Discovery Awards, giving GPU credits to startups in biopharma, genomics, medical imaging, and digital health. This is not theoretical, this production infra is in the hands of researchers and clinicians already. The pattern is clear: 1. Traditional clouds weren’t built for the continuous, high-bandwidth, GPU-dense workloads of modern biology. 2. Purpose-built AI data centers + full-stack software are removing the bottleneck. 3. Faster models → faster experiments → faster therapies. AI and data centers aren’t “coming to healthcare.” They’re already powering it, from mental health agents and epigenetic foundation models to molecular generation and automated gene editing. The companies that master this infrastructure will help decide how quickly the next generation of medicines reaches patients. compute is the new microscope