"How much does it cost to run X on AWS?" should have a number. Most biotech compute pages don't. We just shipped a page with 12 of ours. Every workload benchmarked on AWS spot, every dollar costed, every quality metric a reviewer would ask for: → AlphaDIA DIA cohort: $0.05/sample, 13 min → OpenFold3 TCR-pMHC co-fold: $0.13/complex, DockQ 0.62 → OpenFE TYK2 RBFE 9-edge: $33 (n=1), MUE 0.38 kcal/mol vs experiment → EGFR hit-discovery funnel: $1.16 total, 73 min, 1,000 compounds → Sarek + Parabricks 30× WGS: $2.59/sample, SNP F1 0.9966 → Cryo-ET HIV Gag STA (EMPIAR-10164): $2.20 total, 3.99 Å FSC → GROMACS T-REMD multi-GPU: $0.01/µs extrapolated Every row deep-links to the full methodology: input data, commands, container digests, output checksums. All on public reference datasets — PXD, EMPIAR, GIAB, ChEMBL, PDB. Fork the templates, verify in your own AWS. If you're scoping compute for a Series A/B biotech and tired of "contact us for a quote" — pick a workload to replicate. We'll get your team running in your AWS account within a week. https://lnkd.in/gZCrGRGy #biotech #computationalbiology #drugdiscovery #cryoem #AWS