Comino GRANDO for Life Science Research

Comino GRANDO for Life Science Research

Comino offers a variety of High-Performance Computing solutions for Life Science and Medical Research applications with the main focus on genomics, drug discovery, medical imaging analysis, and computational biology.

Life Science Research

Comino designs and manufactures powerful multi-GPU workstations for enabling rapid large-scale data processing, complex molecular simulations, and AI model training that deliver 3-30× speedups for genomics workflows, virtual screening of billions of compounds, and AlphaFold-level protein structure prediction.

Optimized for specialized Life Science software

  • Cryo-EM & Structural Biology: CryoSPARC, Relion
  • Molecular Dynamics & Drug Discovery: GROMACS, AMBER, NAMD, CHARMM, OpenMM
  • Genomics & Sequencing: GATK, BWA, SAMtools, BEDtools, Picard, STAR, HISAT2
  • Medical Imaging & Analysis: ITK, VTK, DICOM, 3D Slicer, ImageJ, FSL, FreeSurfer
  • Computational Biomechanics: Ansys

Key benefits for Life Science research

  • Complete data privacy & security — on-premise deployment ensures sensitive medical and genomic data never leaves your secure environment, critical for HIPAA/GDPR/FDA compliance and proprietary research data protection
  • Sustained high performance — up to 50% higher performance, 100% of time at Boost Clocks, zero thermal throttling, eliminates performance degradation during long-running simulations that can span days or weeks
  • Ultra-low noise operation — minimal noise even at full load, ideal for quiet laboratory environments where researchers work alongside systems
  • Fast storage & high-bandwidth networking — optimized for CryoSPARC shared file system, Relion fast storage requirements, Ansys NVMe SSD specifications, supports 10Gbps network requirements
  • Long-term reliability — up to 3 years of maintenance-free operation, stable thermal management prevents system failures during critical research workflows where interruptions can cost millions of dollars

Technology

Liquid cooling technology — engineered for sustained performance: low flow rate 1-1.5 liters/min (vs 3-5 liters in competitors), low system pressure reduces leak risk, operates 100% of time at Boost Clocks, eliminates thermal throttling entirely, up to 50% higher sustained performance compared to air-cooled alternatives

Engineered, not assembled approach — custom-designed water blocks fit in single PCIe slot (most competitors take two slots), cools power delivery circuits (motherboard VRM) — unique feature, works with hot air up to 35-40°C (no need for air conditioning), enables deployment in existing laboratory infrastructure without HVAC upgrades

On-premise deployment architecture — complete data privacy through secure on-premise infrastructure, critical for HIPAA/GDPR/FDA compliance and proprietary research data

Energy-efficient design — cooling system consumes 300W (vs 2000W air-cooled), low operating temperatures 60-65°C for CPU (vs 90-95°C in laptops, 80+°C for GPU in air-cooled), up to 40% overall energy savings

Configurations

GRANDO Life Science Research Workstation for Cryo-EM & Structural Biology (CryoSPARC, Relion)

  • CryoSPARC Master Node: Threadripper PRO 7975WX (32 cores) / 32GB DDR4 / 500GB SSD (8+ cores at 2.8GHz+ recommended)
  • CryoSPARC Worker Node: NVIDIA L40S x 4 / Threadripper PRO 7985WX (64 cores) / 256GB DDR4 (64GB per GPU recommended) / 2x 2TB NVMe PCIe SSD (4 cores per GPU, CPU memory bandwidth 100+ GB/s recommended)
  • Relion Multi-GPU: NVIDIA RTX 5090 x 2 / Threadripper PRO 7975WX (32 cores) / 256GB / 2x 2TB NVMe PCIe SSD (optimized for Refine3D odd MPI configuration)
  • Relion High-Performance: NVIDIA H200 x 4 / Threadripper PRO 7995WX (96 cores) / 1024GB / 2x 2TB NVMe PCIe SSD (supports Class2D, Class3D, MultiBody, CPU-only jobs)

GRANDO Life Science Research Workstation for Genomics & Bioinformatics

  • NVIDIA RTX 5090 x 2 / Threadripper PRO 7975WX (32 cores) / 256GB / 2x 2TB NVMe
  • NVIDIA L40S x 4 / Threadripper PRO 7985WX (64 cores) / 512GB / 2x 3.84TB NVMe
  • AMD Radeon AI PRO R9700 x 4 / Threadripper PRO 7985WX (64 cores) / 512GB / 2x 3.84TB NVMe

GRANDO Life Science Research Workstation for Molecular Dynamics & Drug Discovery

  • NVIDIA L40S x 4 / Threadripper PRO 7985WX (64 cores) / 512GB / 2x 7.68TB NVMe
  • NVIDIA H200 x 4 / Threadripper PRO 7995WX (96 cores) / 1024GB / 2x 7.68TB NVMe

GRANDO Life Science Research Workstation for Computational Biomechanics (Ansys)

  • Ansys Structural FEA (Sparse Direct Solver): NVIDIA RTX 5090 x 2 / Threadripper PRO 7975WX (32 cores) / 96GB+ DDR4 (minimum 48 GB for in-core solution) / 2x 2TB NVMe SSD (high-frequency CPUs 3.4+ GHz, 2666+ MHz memory, 45 GB per million solid nodes)
  • Ansys CFD / Structural FEA (PCG Iterative Solver): NVIDIA L40S x 4 / Threadripper PRO 7985WX (64 cores) / 512GB / 2x 2TB NVMe SSD (GPU-accelerated PCG iterative solver, multiple GPUs with sufficient VRAM, requires HPC Pack license, high memory bandwidth for CFD)
  • Ansys NVH: NVIDIA RTX 5090 x 2 / Threadripper PRO 7975WX (32 cores) / 256GB+ DDR4 (high memory capacity) / 2x 2TB NVMe SSD (intermediate endurance ~0.3 DWPD, not QLC NAND)

GRANDO Life Science Research Workstation for Medical Imaging Analysis

  • NVIDIA RTX 5090 x 2 / Threadripper PRO 7975WX (32 cores) / 256GB / 2x 2TB NVMe
  • NVIDIA L40S x 4 / Threadripper PRO 7985WX (64 cores) / 512GB / 2x 3.84TB NVMe
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