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Hammerspace for Life Sciences

Accelerate Research and Discovery with a High-Performance Data Platform Built for Scalable Research Workflows
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Siloed Data and Legacy Infrastructure are Slowing Scientific Breakthroughs

Life sciences organizations generate massive volumes of unstructured data — from genomic sequencing, microscopy, and cryo-EM imaging to multi-omics analysis and AI-driven drug discovery. But these data sets are often trapped in isolated silos across research sites, sequencing labs, and cloud environments, making it difficult for teams to collaborate, automate analysis, or train AI models efficiently. Legacy storage systems can’t keep up with the throughput and latency requirements of modern bioinformatics pipelines, nor the need to move petabyte-scale data across hybrid and multi-cloud environments for global R&D teams.

Unify Fragmented Data, Automate and Accelerate Research Workflows and AI Pipelines

Hammerspace unifies file and object data across multiple storage systems from any vendor — on-premises and in the cloud — into a single, high-performance global namespace. Hammerspace automates the movement of massive datasets from cryo-EM scopes, sequencers, and other instruments directly to HPC clusters and AI platforms for analysis - without manual data copying.

Combine GPU server-local storage, NVMe scratch tiers, project data and archived data in a unified global namespace to simplify operations and accelerate research workflows. Whether powering next-generation sequencing pipelines, AI-based drug design, or large-scale simulation workloads, Hammerspace delivers the throughput, scalability, and data agility that modern life sciences research demands.
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Simplify Multi-Site Analysis with a Global File System

Watch how Hammerspace makes multi-site analysis effortless. This demo shows a BWA alignment running from New Jersey, transparently using data and compute resources in Boston.

  • Data Appears Local: Users work without worrying about file location
  • Automated Data Orchestration: No manual data staging required
  • Compute and Storage Flexibility: Analyze and access where it makes the most sense
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Key Benefits

Accelerate Discovery Pipelines

Eliminate data bottlenecks between sequencing, analysis, and AI workflows with high-throughput, low-latency data access

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Enable Global Collaboration

Give researchers, clinicians, and partners around the world fast access to shared data sets through a single global namespace

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Simplify Hybrid Cloud Data Management

Capture and ingest imaging data on-prem, process it in the cloud, and share with researchers at different sites – seamlessly and without manual data copy

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Optimize Data Storage Costs

Automatically tier and place data on the most efficient storage resources to manage project data across the entire lifecycle

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Common Use Cases

Genomics & Multi-Omics Analysis

Accelerate genomics pipelines by unifying sequencing data across instruments, labs, and compute sites for faster variant calling and population studies.

AI-Driven Drug Discovery

Streamline model training and inference for drug discovery by providing high-performance access to distributed molecular and simulation data.

Biomedical Imaging

Manage and share massive microscopy, radiology, and cryo-EM imaging datasets globally without manual data copy.

Speak with our Life Sciences CTO

Schedule a meeting now to speak with our Life Sciences CTO and discover how Hammerspace can help accelerate your research and improve scientific outcomes
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