Summary
The promise of Precision Medicine that was envisioned decades ago with the mapping of the human genome is fast becoming a reality. While genomic research is paving the way for significant advances in healthcare, its practice has led to new challenges for biotechnology firms in terms of increasing data volume, variety and complexity. Given that the data representing a single human genome takes up to 100 gigabytes of storage space, biotech companies engaged in genomic research must develop the computing infrastructure and skills to manage, store, analyse and interpret massive quantities of highly complex data. Healthcare centres, in particular, need a data storage solution that uses low power, small space, small volume, low weight, and is quiet, and easy to implement. It is quite a challenge for an inner-city hospital to construct and operate a data centre like those built by Google, Amazon, & Microsoft. Current alternatives are either too costly, or exhibit low reliability and/or performance, and none of them achieve the right level of security. In answer to this need, Swiss Vault is developing a high-density, modular genome sequencing/storage proprietary system, which enables organisations to scale their data capabilities in terms of both computing power and storage with high security and low carbon footprint. The BasePort project will allow us to bring to market a data storage hardware integrated with software that operates with 1/10th power consumption, 1/4th volume, and 1/5th weight of conventional comparable systems. The innovative form-factor is 10X more power- & 20X more space-efficient, easy to manage, ideal for Industry 4.0, Smart Cities and Edge computing. Our platform makes data storage a “Green Technology” and enables organizations to reduce their data storage costs and their data-carbon footprint by up to 10-fold. Thanks to this project we will bring to the market the best-in-class solution for storage and management if large data.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/960060 |
| Start date: | 01-07-2020 |
| End date: | 28-02-2023 |
| Total budget - Public funding: | 2 491 762,00 Euro - 1 744 233,00 Euro |
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Original description
The promise of Precision Medicine that was envisioned decades ago with the mapping of the human genome is fast becoming a reality. While genomic research is paving the way for significant advances in healthcare, its practice has led to new challenges for biotechnology firms in terms of increasing data volume, variety and complexity. Given that the data representing a single human genome takes up to 100 gigabytes of storage space, biotech companies engaged in genomic research must develop the computing infrastructure and skills to manage, store, analyse and interpret massive quantities of highly complex data. Healthcare centres, in particular, need a data storage solution that uses low power, small space, small volume, low weight, and is quiet, and easy to implement. It is quite a challenge for an inner-city hospital to construct and operate a data centre like those built by Google, Amazon, & Microsoft. Current alternatives are either too costly, or exhibit low reliability and/or performance, and none of them achieve the right level of security. In answer to this need, Swiss Vault is developing a high-density, modular genome sequencing/storage proprietary system, which enables organisations to scale their data capabilities in terms of both computing power and storage with high security and low carbon footprint. The BasePort project will allow us to bring to market a data storage hardware integrated with software that operates with 1/10th power consumption, 1/4th volume, and 1/5th weight of conventional comparable systems. The innovative form-factor is 10X more power- & 20X more space-efficient, easy to manage, ideal for Industry 4.0, Smart Cities and Edge computing. Our platform makes data storage a “Green Technology” and enables organizations to reduce their data storage costs and their data-carbon footprint by up to 10-fold. Thanks to this project we will bring to the market the best-in-class solution for storage and management if large data.Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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