ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research
Company Size
1,000+
Region
- America
- Middle East
Country
- Qatar
- United States
Product
- Storage Fusion Architecture®
- GRIDScaler® parallel file system
- DDN® storage
Tech Stack
- High Performance Computing (HPC)
- Parallel File-Store Solution
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Storage Services
- Infrastructure as a Service (IaaS) - Hybrid Cloud
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Discrete Manufacturing
- Product Research & Development
Use Cases
- Edge Computing & Edge Intelligence
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College is located on the upper east-side of Manhattan. The Institute is at the vanguard of advancements in epigenomics, genomics, proteomics and research in personalized medicine. These advances open the door to major scientific discoveries and conceptual breakthroughs. The Institute’s mission is to provide the resources and nurture the collaborative, multi-disciplinary environment that will make such breakthroughs possible. Surrounded by some of the largest genetic sequencing centers on the east coast, Weill Cornell collaborates with the New York Genome Center, New York Presbyterian Hospital, the Cornell University Center for Advanced Computing in Ithaca as well as Weill Cornell Medical College in Qatar (Middle East). Together these researchers are fundamentally shaping the future of personalized medicine.
The Challenge
The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College was facing a challenge as they expanded their neuroscience, epigenomics, proteomics imaging facilities and brought online more genetic sequencers. Their legacy methodology of organically adding autonomous storage pools was no longer capable of meeting the computational needs of the researchers. The challenge was transitioning from their legacy method of adding a single dedicated RAID array (at a time), into something that was scalable and could meet their storage needs for years to come. As the data ingest rates continued to raise, the facility needed to look into a more robust, scalable and sustainable storage approach.
The Solution
After evaluating a number of solutions they selected the DDN Storage Fusion Architecture running GRIDScaler parallel file system. This solution allowed Weill Cornell to start with two controllers and ten partially populated 60-slot trays and then grow the system to petabytes with a pay-as-you-grow plan. With this approach, they were able to maximize the dollars/GB while they incrementally scale performance and capacity by just adding disks. Another advantage of the DDN approach was that the SFA10K dual controllers could drive up to 20 trays with sixty (60) spinning or solid-state drives per tray. This level of flexibility allows the ICB to precision scale the storage pool to meet the exacting needs of the researcher’s workflows within the financial constraints of the college.
Operational Impact
Quantitative Benefit
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