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.
WORKSTATIONS
CONFIGURE A WORKSTATION
For MD, Cryo-EM, Protein Folding, CADD & More
FlexPrime V50R
- FORM FACTOR
- Workstation
- CPU
- 1X AMD Ryzen 9000 Series
- GPU
- Up to 2x Double-Wide GPU
- MEMORY
- 4x DDR5 UDIMM
FlexPrime V80T
- FORM FACTOR
- Workstation
- CPU
- 1x AMD Threadripper PRO 9000WX
- GPU
- Up to 4x RTX PRO 6000 Blackwell
- MEMORY
- Up to 8x DDR5 ECC/R
FlexPrime R80X
- FORM FACTOR
- Rackmountable
- CPU
- 1x Intel Xeon 600 Workstation Series
- GPU
- Up to 4x RTX PRO 6000 Blackwell
- MEMORY
- Up to 8x DDR5 ECC/R
SERVERS
CONFIGURE A GPU SERVER
For MD, Cryo-EM, Protein Folding, CADD & More
FlexPrime G2E2
- FORM FACTOR
- 2U Rackmount
- CPU
- 2x AMD EPYC 9005 / 9004 Series
- GPU
- Up to 4x Double-Wide GPU
- MEMORY
- Up to 24x DDR5 ECC/R
FlexGrid MG4E2
- FORM FACTOR
- 4U Server
- CPU
- AMD EPYC 9005 / 9004 Series
- GPU
- Up To 8x Double-Wide GPU
- MEMORY
- Up to 24x DDR5 ECC/R
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.