Aethia HPC Pack for Bioinformatics is a turnkey solution for research laboratories, pharmaceutical industries, biotech companies involved in:

Whom is it addressed to

The experiments done with different analysis techniques produce large quantities of “omics" information (genomics, proteomics and metabolomics). The progresses in the biochemical sector decisively revitalized the sequencing of genome with different organisms, among which the human being, and today we have sequencers with very high data throughput.
In order to efficiently manage and elaborate these high amounts of data, high performance computating technologies have become very important, and the availability of HPC systems is a key competitive factor for the discovery and development of new drugs and for the reduction of the time to market.
To design and deploy an efficient HPC system demands an in-depth knowledge of the hardware and software resources used. Our specific experience in the bioinformatics sector results from more than 15 years of achievements from university and private research institutions.

Aethia HPC Pack for Bioinformatics is ideal for:

• Research and development departments of pharmaceutical and biotech companies
• Bioinformatic research groups
• University departments
• Computational centres

Strong points

• Results from the experience of more than fifteen years related to the provision of HPC systems for computational chemistry applications.
• It is a solution designed, constructed and optimized to manage big amounts of data, high throughputs and to exploit the most used software applications in this sector
• The storage solution can reach up to 8 petabyte capacity and 150 GB/s throughput.
• The user can dedicate fully to its own activity, we have thought of all the rest.
• It offers maximum performance for the execution of applications, thanks to a careful choice of hardware components depending on the specific application software.
• It allows scalability and flexibility to easily expand the IT capacity during time
• The purchase and operating costs are reduced as compared to the effective computing performances.