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HPC server(FPGA, GPU)

WASAI-Lightning™ NEW

Wasai lighting - A FPGA-based all-in-one DNA sequencing acceleration solution
WASAI-Lightning™ Family is an all-in-one DNA sequencing acceleration solution. With the integration of the Genome Analysis Toolkit (GATK), Intel Xeon CPU and its high-performance Programmable Acceleration Card, pipeline acceleration is sped up 11x the speed for a whole genome at 30x depth. WASAI Lighting Family shines by embracing the highly consistent standard pipeline, the simplified design for better ROI, and thus, improved user experience.


Lightning: The basic model is more flexible to integrate with 1U/2U/Tower server. The daily throughput is 4.8 WGS per day per node. Suitable with small laboratories with the annual WGS sample needs no more than 1,800 WGS samples. 


Lightning S: The standard model supports 2U servers that come with a job scheduler which can support job-queueing for HPC clusters. The daily throughput is 8 WGS per day per node. The evolutionary solution can provide annual throughput of nearly 3000 WGS samples but with a more competitive price.


Lightning Plus: Lightning Plus is the high-end model brings the best daily throughput of 12 WGS on a single node. By the parallel execution on multiple FPGA cards, each genome data can get the fastest speed. This high-performance deployment has an extremely annual throughput of 4380. This model also comes with a job scheduler which can support job-queueing for HPC clusters.


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Visualize your genomics analysis -
Simple and Easy to Use! 


The WASAI-Lightning™ Manager, a web-based system dashboard is simple and easy to use. It enables the genomics analysis to be automated, shortening the time for the whole analytic procedure. You can manage and monitor your genomics analysis status through our web application!

  • Plug-and-Play: real-time samples uploading and WASAI-Lightning™ pipeline execution

  • Time-saver Automation: genomics analysis automation to fasten the procedure

  • Easy to manage: analysis process monitoring and versions management

  • Ready to synchronize/share: analysis results sharing with the research team

  • Good Visualization:  intuitive visual web-based demonstration of FASTQ data transformed into VCF