Accelerating innovation in Life Sciences

  • Improve time-to-results and time-to-market

  • Unleash research productivity & efficiency

  • Run at cloud scale to maximize ROI

Leading research organizations trust Univa

  • cdc
  • novartis
  • merck
  • vertex
  • bayer
  • bms

7 of the top 10 life science research organizations trust Univa to help manage mission critical HPC environments on-premise and in the cloud.

  • managment

    High-throughput workload scheduling

    Proven scalability to 1M+ vCPUs and up to 9x the performance of competing schedulers.

  • networking

    Analytics and
    machine learning

    Run a variety of HPC, analytic, and machine learning workloads on a shared infrastructure.

  • neural

    Hundreds of
    application integrations

    Univa Grid Engine is the preferred workload manager for leading bioinformatics environments.

  • networking

    Hybrid, dedicated,
    and multi-cloud

    Stay flexible and portable, efficiently running applications on-prem or in your choice of cloud.

  • database

    Container and
    GPU management

    Efficiently manage modern containerized workloads alongside existing applications.

  • server

    Migration, automation, and spend management

    Easily migrate HPC workloads to the cloud. Automate deployments and use resources optimally.

Enabling faster, more productive research

From molecular modeling to next-gen sequencing and imaging, life sciences research depends on HPC.

Univa provides advanced workload and resource management, helping organizations boost performance, improve research productivity, and reduce time to results.

Life sciences organizations are migrating to the cloud at a rapid rate. Univa's solutions help enterprises easily create and manage hybrid and dedicated research clusters in the cloud to accelerate innovation.

Broad Application Support

Univa Grid Engine provides the industry’s most complete set of application integrations with leading bioinformatics tools and pipelines. See a more complete list of application integrations

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Human Genetics Centre at University of Oxford deploys Univa solutions

When an international leader in genetics, genomics, statistics and structural biology faced rapid growth and the daunting challenge of accommodating new workload types, they chose Univa.


Univa Grid Engine Powers Bioinformatics at CeBiTec, Bielefeld University

BRF selected Univa Grid Engine for its optimized throughput and performance, rich features, reliability, expert support.


Capitalizing on the opportunity of Hybrid Cloud in HPC.

Across all industries, HPC users are embracing cloud computing. Download Univa's free whitepaper and learn how hybrid cloud computing can provide a decisive advantage for your business,


Centre for Genomic Regulation, Barcelona, Spain

When the CRG needed to virtualize complex genomics analysis pipelines using Docker and Nextflow they turned to Univa.


Univa Grid Engine maximizes Queen Mary University of London HPC cluster

Globally recognized for pushing the boundaries of research and innovation, Queen Mary University of London (QMUL) runs a high-performance computing environment that supports over 2,000 students and researchers across all disciplines. Learn why QMUL selected Univa for HPC workload management.

queen mary