• Life Sciences

    Since the decoding of the human genome, the future of many life sciences projects will require access to powerful computing cluster accessing Petascale storage pools of clinical and research data.

Current tasks that need large scale data storage repositories such as the DNA sequencing and images analysis from MRI scans may make way for next generation of use cases requiring even larger storage volumes along enhancements in performance to deliver new breakthrough.

For both the research and clinical communities, data storage needs to be able to adapt to a wide variety of access patterns with the flexibility to be easily assignable to different teams and departments. With limited IT resources, storage must be able to offer absolute reliability and ease of management that allows for projects to scale up and down with minimal human intervention..

Proven in the industry

Several large research projects are using storage based on AoE technology to help power breakthroughs. The ability to create flexible storage pools that allow for different use cases ranging from high performance through to inexpensive bulk data storage along compatibility with data analytics platforms such as Hadoop is helping organisations to deliver more cots effective storage environments. Full details and testimonials of this project and other examples within Life Sciences are available on request.

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Why is ArgoTech perfect for Life Sciences?

  • Unified storage architecture with flexibility to deliver high performance read and write across a wide range of research project workloads. 
  • Uses industry standard hardware, protocols and interfaces to allow seamless compatibility with clinical systems such as MRI and big data analysis projects using tools such as Hadoop 
  • Scales from 10GB to 40GB with a roadmap to 100GB Ethernet connectivity with IOPS beyond 1 million to support massively parallel projects 
  • Supports flexible workloads including offload to AWS, S3 and other cloud based big data analysis engines

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