Hospital and Healthcare HPC

The need for computing infrastructure in the healthcare sector has moved beyond the clinic. Radiology departments process hundreds of high-resolution imaging sets daily; genomics laboratories work with whole exome or whole genome sequencing data; research units train machine learning models on patient cohorts. All of these workloads require both high computing capacity and infrastructure that provides legal assurance for patient data.

In Turkey, personal health data falls under the “special category personal data” classification within KVKK. This makes it mandatory for such data to be processed domestically and in an auditable environment. Mevasis offers healthcare organizations Turkey-located, KVKK-compliant HPC infrastructure and managed service models.

Why Is HPC Necessary in Healthcare?

The acceleration in medical imaging and clinical data analysis is pushing the limits of traditional server infrastructure. Three concrete examples:

Typical Workloads

Medical Imaging and Artificial Intelligence

Image-based diagnostic support systems require large datasets and powerful GPUs during training, while low latency is the priority during inference.

Commonly used frameworks and tools:

Example: Lung nodule detection model training

Genomics and Bioinformatics

Clinical genomics is increasingly becoming routine for diagnosis and treatment planning. Tumor genome analysis, rare disease diagnosis, and pharmacogenomic tests are the primary application areas.

Clinical WES example (Whole Exome Sequencing):

Molecular Simulation and Drug Research

Research centers and advanced medical faculties within hospital systems use computational methods to understand the mechanisms of action of experimental treatments.

Clinical Data Analytics and Machine Learning

Large-scale machine learning studies conducted on patient records, laboratory results, and clinical notes:

KVKK Compliance and Data Security

In Turkey, personal health data processing falls under the special category data class under Article 6 of KVKK. Measures required for this class include technical and administrative controls, data processing records, and compliance with Personal Data Protection Board regulations.

Using overseas cloud infrastructure means transferring personal health data abroad. This transfer is subject to additional conditions under KVKK Article 9 (explicit consent or adequate protection decision) and carries serious legal risk in practical application.

Core guarantees of Mevasis healthcare infrastructure:

Reference Configuration: Healthcare Research Center HPC

Healthcare Research Center — Reference HPC Configuration

Login / Transfer Node (2 units, load-balanced)
├── GPU Compute Nodes (4–8 units)
│   └── 2× Intel Xeon Gold 6438M + 4× NVIDIA A100 80 GB SXM
│       256 GB DDR5 system memory
│       (Image analysis, Parabricks, GROMACS, AlphaFold)
│
├── CPU Compute Nodes (8–16 units)
│   └── 2× AMD EPYC 9354 (32-core), 512 GB DDR5
│       (GATK, STAR, ANNOVAR, EHR analytics)
│
├── High-Memory Node (2 units)
│   └── 2× AMD EPYC 9654, 1.5 TB DDR5
│       (Large cohort analysis, Gaussian, large-scale variant annotation)
│
└── Storage Layer
    ├── NVMe scratch: BeeGFS, 4 GB/s+ bandwidth
    ├── Capacity storage: ZFS-based, redundant, encrypted
    └── Archive: S3-compatible object storage, lifecycle policies

Network: InfiniBand HDR100 (MPI and GPU-GPU traffic)
Job Scheduler: SLURM + project-specific partition structure
Security: Isolated network segment, encrypted storage, audit log

Mevasis Healthcare HPC Services

Mevasis offers specialized HPC services for hospital research centers, medical faculties, genomics laboratories, and health technology companies:

Contact us to evaluate your healthcare-specific requirements and jointly determine the appropriate infrastructure model.