Velocity • Durability
Velocity • Durability
Runtime
5 minute read
Audience
Life sciences leaders, researchers, IT architects
Primary themes
Genomics · Drug Discovery · Compliance
Pharma and digital health organizations are generating data at an unprecedented scale. From genomics and cryo-EM imaging to AI-driven drug discovery and clinical AI inference, every pipeline stage demands storage that is fast, reliable, and economical. Legacy systems were not built for this.
The consequences are real and measurable:
The largest AI builders in the world, Google, Meta, and Microsoft, solved this by running mixed-tier architectures with intelligent tiering: just enough NVMe flash to saturate GPU throughput, with high-density HDDs handling capacity and cold data. That is the playbook VDURA brings to every AI factory in life sciences.
Think of it as a reliable fleet of high-performance vehicles powering your data: dependable, scalable from compact to heavy-duty models, self-managing failures, and optimized for long-term efficiency, rather than temperamental race cars that demand constant attention.
VDURA Data Platform (VDP) V11, delivering terabytes-per-second throughput potential, linear scalability to exabytes and thousands of nodes, and up to 12 nines durability all through pure software on commodity hardware. It addresses the full AI pipeline, from ingest and training to checkpointing and inference, while minimizing TCO amid SSD price pressures.
Life sciences is one of VDURA’s strongest and most established verticals. The VDURA Data Platform is deployed across leading research institutions, academic medical centers, pharmaceutical companies, and digital health organizations worldwide. The use cases below represent the core workloads where VDURA delivers measurable impact.
Cryogenic electron microscopy generates massive, continuous data streams that demand exceptional throughput and near-zero latency across multiple simultaneous instruments. VDURA replaces fragmented legacy storage systems with a single high-performance platform, enabling structural biology teams to eliminate bottlenecks, accelerate computation times, and gain faster insights into protein structures critical for drug design and disease research.
Next-generation sequencing produces massive genomic datasets that require both high-throughput ingestion and reliable long-term storage. VDURA handles these workloads with infinitely scalable performance and capacity, ensuring continuous, uninterrupted access to critical sequencing data across every stage of the pipeline from raw reads through analysis and archive.
Drug discovery pipelines built on NVIDIA/AMD GPU clusters demand storage that can keep pace with training and inference without becoming the bottleneck. VDURA’s parallel file architecture ensures GPU saturation across every stage, from model training and checkpointing through fine-tuning and inference, with automated tiering that keeps flash lean and cost-efficient as the pipeline scales.
Clinical AI workloads, including medical imaging, digital pathology, and ambient documentation, operate in regulated environments where data residency, security, and uptime are non-negotiable. VDURA’s on-premises and mixed-fleet architecture is purpose-built for these environments, with end-to-end AES-256 encryption, KMIP key management, and up to 12 nines data durability that meets or exceeds hyperscaler benchmarks.
Bioinformatics workflows generate complex, diverse data types that require seamless integration across storage environments. VDURA’s single global namespace and multi-protocol support, including POSIX, NFS, SMB, S3, and CSI, allows research teams to consolidate fragmented storage infrastructure, reduce complexity, and accelerate discoveries in personalized medicine and epidemiological research.
| Pharma Priority | VDURA Advantage |
|---|---|
| Accelerate drug discovery | Faster model training and iteration cycles |
| Maximize AI infrastructure ROI | Higher GPU utilization, lower storage cost |
| Unify global data pipelines | Single platform for genomics, imaging, and clinical data |
| Ensure data integrity and compliance | Built-in resilience + governance-ready architecture |
| Scale from research to production | Predictable performance at any scale |
Over 1,000 production deployments. Tens of millions of cumulative runtime hours. Exabytes upon exabytes of data managed. These are the environments where data loss isn’t an inconvenience, it’s a career-ending, research-destroying, patient-impacting event.
In life sciences alone, VDURA supports production workloads across:
This breadth of real-world deployment is what separates VDURA from platforms that benchmark well but have yet to prove themselves in the environments where failure is not an option.
The VDURA Economic Advantage
Performance, economic efficiency, and operational reliability in a single platform. No external data movers. No separate object stores. No second software stack. One control plane, one data plane, one namespace. The hyperscaler playbook, available to every life sciences AI factory.
| Throughput | Terabytes per second potential with linear scaling |
| Scalability | Exabyte capacity, thousands of nodes per cluster |
| Durability | Up to 12 nines (all-flash), 11 nines (mixed fleet) |
| Availability | Six nines+ in production environments |
| Media Support | NVMe SSD (TLC/QLC) + SATA HDD (CMR/SMR/HAMR) |
| Protocols | POSIX/DirectFlow, NFS, SMB, S3, CSI |
| Encryption | AES-256 end-to-end, KMIP key management |
| Metadata | VeLO: billions of INODE operations per second |
| Self-Healing | Automated recovery, scrubbing, and balancing |
| Deployments | 1,000+ production deployments worldwide |
A single cluster scales to exabytes and thousands of nodes with shared pools enabling linear performance and expandability. Disaggregation allows provisioning flash for peaks then balancing HDD capacity, maximizing GPU utilization and efficiency.
VDURA operates on a true shared-nothing principle, placing all availability and fault tolerance in software rather than relying on any intrinsic high-availability features of the underlying hardware. This eliminates the need for specialized HA-pair servers, firmware-based RAID controllers, dual-ported SSDs or HDDs, or other specialized hardware designs.
By managing resilience entirely through software (Network File Level Erasure Coding, automated self-healing, and Director-led orchestration), HYDRA enables the use of standard, off-the-shelf commodity servers and storage devices.
■ Complete Hardware Freedom
Run on any compatible commodity servers and drives, avoiding vendor lock-in and enabling multi-vendor sourcing for best price/performance.
■ Hyperscaler-Grade Media Support
Single-port NVMe SSDs (TLC/QLC) and single-ported SATA HDDs (CMR/SMR/HAMR/HBHDD), unlocking the lowest unit costs and maximum supply chain flexibility.
■ Software-Defined SLAs
Performance, capacity, durability, availability and additional QOS attributes are governed by policy-driven tiers and software resilience via APIs, not complicated HA hardware configurations, making the system simpler to deploy, expand, and operate at scale.
VDURA’s 25+ year heritage from PanFS means the system has encountered, diagnosed, and automated safeguards against every failure mode that emerges in real production environments. Six nines+ availability in practice. Up to 12 nines durability in all-flash configurations and 11 nines in mixed-fleet deployments. Automated self-healing, scrubbing, and balancing with no manual intervention required.
End-to-end AES-256 encryption with KMIP key management. Integrated redundancy and automated recovery processes maintain data integrity. For regulated life sciences and clinical environments, VDURA provides the security and compliance foundation that research infrastructure demands.
The convergence of AI-driven drug discovery, clinical AI deployment, and genomics at scale has created a storage inflection point. The infrastructure decisions life sciences organizations make today will determine whether their AI pipelines are built on a foundation that scales economically and reliably over time, or one that becomes an increasingly expensive constraint.
VDURA is the only platform that combines the performance of a true parallel file system, the resilience of object-grade erasure coding, and the economics of mixed fleet architecture in a single software-defined platform built on commodity hardware. It is trusted by more than 1,000 production deployments worldwide, including many of the most demanding life sciences environments on the planet.
Ready to see what VDURA’s HYDRA architecture means for your specific genomics, drug discovery, or imaging workloads? The VDURA team will build a custom BOM, performance model, and 3-year TCO comparison for your environment.