Our primary computational resource is a professional-grade high-performance workstation built for demanding bioinformatics workflows. It combines high core-count CPU processing with dual professional-grade GPUs, enabling parallel execution of genome assembly, alignment, variant calling, and deep learning pipelines simultaneously.
Processor
AMD Ryzen Threadripper PRO 7960WX
24 cores / 48 threads 4.20 – 5.30 GHz boost
Memory
256 GB RAM
High-bandwidth ECC memory for large genomic datasets
GPU
2 × NVIDIA RTX A6000
48 GB VRAM each CUDA · deep learning ready
Primary Storage
4 TB NVMe SSD
Ultra-fast read/write for active analysis jobs
Archive Storage
2 × 20 TB HDD
40 TB total bulk storage for raw sequencing data
Total Storage
44 TB Combined
NVMe + HDD hybrid tiered storage architecture
Primary Use Cases
Mitogenome assembly Whole genome sequencing (WGS) Sequence alignment SNP calling Metagenomic data processing Transcriptomics AI image analysis Species recognition
Our computational infrastructure supports research across all three groups — molecular laboratory, bioinformatics and modeling, and field ecology. Resources are continuously expanded to meet the demands of large-scale genomic and ecological datasets.
