LIFE SCIENCES
Purpose-configured workstations and servers for molecular dynamics, cryo-EM reconstruction, protein structure prediction, and computational drug design — delivering GPU-accelerated performance where it matters most.
WHY GPU ACCELERATION
COMPRESS WEEKS OF COMPUTE INTO HOURS
GPU-accelerated hardware transforms life sciences workflows — turning simulations that once took days into overnight runs. Own your compute, keep your data local, and eliminate the unpredictable costs of cloud GPU time.
- No per-job billing — run as many simulations as your research demands on hardware you own.
- Data stays on your network — no sensitive research data leaving your facility.
- Modular and interoperable — add GPUs, storage, or nodes as your lab's compute needs grow.
WORKFLOW COVERAGE
FROM SIMULATION TO STRUCTURE TO DRUG CANDIDATE
Our platforms support every phase — from early experimentation on a workstation to production-grade training and inference on GPU servers.
MOLECULAR DYNAMICS SIMULATION
GPU acceleration turns multi-day MD runs into overnight jobs. Simulate large biomolecular systems with the throughput needed to generate statistically meaningful trajectories at scale.
CRYO-EM & STRUCTUAL BIOLOGY
Accelerate 2D classification, 3D reconstruction, and iterative refinement workflows. Dedicated GPU compute lets you process datasets locally without competing for shared cluster time.
PROTEIN FOLDING & STRUCTURAL PREDICTION
Structure prediction is now foundational to modern drug design pipelines. Multi-GPU systems dramatically reduce the time to predict complex folds and generate high-confidence structural models.
DRUG DESIGN AND COMPUTATIONAL CHEMISTRY
GPU-powered virtual screening, molecular docking, and ADMET modeling help you narrow large compound libraries to promising candidates faster — compressing early-stage drug discovery timelines.