Deploy all-flash infrastructure for all your active data sets. VAST's new advancements in commodity flash management, data protection and reduction deliver a lower TCO than hybrid storage alternatives.
Decode the Building Blocks of Life
Universal Storage is the data foundation trusted by world-leading genomics, brain science and life science organizations to pioneer the next era of human wellness. From Alphafold to Parabricks to Relion, Universal Storage provides complete access to full data stores and unleashes barriers to insight from biological data at any scale.
With revolutionary storage efficiency, the power of real-time data access to feed AI-driven research is now available in a radically affordable enterprise data platform. Universal Storage delivers the speed of an all-flash parallel file system without any of the complexity.
Scientific discovery has evolved beyond legacy storage approaches.
For years, life science centers have built their environments from large reserves of hard disk drives in order to marry tight budgets with large storage capacity needs. All the while, large farms of CPUs walk randomly through fragments of life science data looking for variants and mutations in ways that can't be cached or accelerated by tiered storage. This mismatch between the I/O demands of bioinformatic pipelines and the limits of legacy HDD and tiered storage has left the community in a sub-optimized state for over a decade.
VAST Universal Storage provides a responsive data infrastructure that allows you to remove the barriers to data insight as GPUs, accelerators and AI applications continue to evolve—and you can do so at any scale.
Invitae moved to using VAST to speed up workflows, using GPUs & Universal Storage for analysis, seeing a 6X improvement in access to data and a 30X IOPS performance improvement.
Universal Storage is The Data Foundation For The Next Era of Bioscience
For the first time in 20 years, VAST Data has introduced a new type of distributed system architecture. VAST's Disaggregated and Shared Everything (DASE) storage system was built from the ground up to eliminate the tradeoffs between storage performance and capacity with a new storage architecture that enables unlimited processing on affordable flash, at up to exabyte scale. Our Universal Storage system was engineered to be fast enough for your most demanding pipelines, scalable enough for all of your life science data and affordable enough that you never need to think about storage tiering again.
All Flash, at Archive Economics
Scale Without Feature Compromise
Get near-limitless snapshots, enterprise replication, user and admin auditing, remote monitoring, online upgrades and expansions and so much more. Break the scalability & data management simplicity compromise.
A Unified, Multi-Protocol Platform
Process data to any application: data can be delivered across NFS, SMB and S3. The VAST Element Store is a universal permissions management model that arbitrates access across supported protocols.
Accelerate Every Step of the Pipeline
Scale performance linearly as your data volumes grow. Universal Storage was engineered from the ground up to achieve optimal processor efficiency for genomics, proteomics, neuroscience and AI pipelines.
Enterprise NAS, with HPC speed
VAST systems feature universal data access to NFS, SMB and S3 clients, consolidating datasets into one namespace. RDMA and multi-path access achieve parallel file system performance with trusted NAS protocols.
Dedicate front-end servers and the performance they provide to the most critical projects. VAST's server pooling capability provides dedicated Quality of Service for competing projects.
Sample Genomics Pipeline with VAST
Innovation begins with understanding
Universal Storage for Life Sciences
Meeting the ever-growing data storage, access, and processing demands of life sciences utilizing the Universal Storage all-flash platform.
Lawrence Livermore National Laboratory (LLNL)
LLNL selected VAST’s high-performance & easy to use all-flash based Universal Storage to unleash their HPC and Machine Learning efforts to drive drug efficacy.