Healthcare and life sciences organizations are embracing artificial intelligence (AI) and machine learning (ML) to solve some of the world’s most complex challenges, from accelerating drug discovery and diagnostics to automating clinical workflows and improving patient outcomes. But achieving meaningful results from AI isn’t just about training smarter models. It requires data infrastructure that can keep up with the speed, scale, and sophistication of modern AI.
Today’s AI platforms must process massive amounts of multimodal data, support real-time inference, and operate across hybrid environments all while maintaining strict compliance, security, and uptime. DDN’s Data Intelligence Platform is purpose-built to address these needs, providing healthcare institutions with a unified, high-performance data foundation that drives faster insights, more efficient operations, and better patient outcomes.
AI is Here, But Infrastructure Isn’t Always Ready
According to the 2025 NVIDIA State of AI in Healthcare and Life Sciences Report, AI adoption in healthcare is no longer experimental—it’s operational.
- 63% of healthcare organizations are already deploying AI at scale
- 81% report that AI has increased revenue
- However, 68% say their current infrastructure is not sufficient to meet future AI demands
This gap between AI ambition and infrastructure readiness is now a critical barrier to growth. Whether the goal is to train generative models for clinical summarization or support real-time medical imaging inference, legacy storage systems and fragmented data architectures simply can’t keep pace.
The Intelligent Infrastructure Behind Scalable Healthcare AI
DDN’s Data Intelligence Platform enables healthcare organizations to unify data access, training, inference, and governance across cloud, core, and edge, without requiring data duplication or reformatting. It provides the scalability and performance needed to operationalize AI across clinical, research, and administrative workflows.
Here’s how DDN transforms AI performance across the healthcare stack:
1. Blazing Performance for Real-Time Results
- Delivers multi-terabyte-per-second throughput and sub-millisecond latency to accelerate ML training, inference, and analytics
- Keeps GPUs fully saturated with high-speed data movement, reducing time-to-insight and boosting operational efficiency
- Enables real-time AI-powered diagnostics and document processing without infrastructure lag
2. Seamless Scalability for Growing Workloads
- Scales from terabytes to hundreds of petabytes with ease—no architectural overhauls required
- Supports massive, multimodal datasets including medical images, EHRs, genomic sequences, and unstructured clinical notes
- Allows organizations to add nodes and grow pipelines without impacting performance or uptime
3. Protocol-Agnostic Access to Data Wherever It Lives
- Eliminates the need to rewrite legacy applications or move data for analysis
- Supports POSIX, S3, CSI, SQL, and other standard protocols, enabling universal access without reformatting or replication
- Enables AI models to query in-place data across edge devices, core data centers, and cloud environments
Break Down Silos Without Breaking Privacy
In healthcare, critical data often lives in departmental silos—clinical, research, radiology, billing, and beyond. This fragmentation slows AI innovation and makes unified insights nearly impossible.
DDN’s platform solves this with native multi-tenancy, metadata tagging, and built-in anonymization capabilities that enable organizations to safely unify and share sensitive data across teams and workflows.
- Share datasets across departments or institutions without compromising PHI or violating compliance mandates
- Enable cross-disciplinary AI development using anonymized or masked data
- Maintain secure, traceable access to protect patient privacy and support HIPAA, GxP, and other frameworks
This allows healthcare institutions to turn fragmented data into collaborative insight—accelerating outcomes without increasing risk.
Purpose-Built for Generative AI in Healthcare
Generative AI and retrieval-augmented generation (RAG) are opening new doors in healthcare:
- Auto-generating patient summaries from EHRs
- Assisting clinicians with real-time decision support
- Accelerating literature review and discovery pipelines
- Creating AI copilots for administrative workflows
But these models depend on real-time access to vast amounts of structured and unstructured data, and traditional storage architectures simply aren’t optimized for that.
DDN powers this new class of applications with:
- Real-time metadata search and tagging
- Integrated AI pipeline orchestration with NVIDIA NeMo, RAG frameworks, and NVIDIA AI Enterprise
- Secure, compliant workflows that support HIPAA, GxP, and other regulatory frameworks
As the NVIDIA report confirms, 66% of pharmaceutical and techbio firms are already using generative AI to accelerate discovery, and 71% of digital health organizations are using AI in real-time clinical support.
Real-World Use Cases with DDN
Medical Imaging and Diagnostics
AI-enhanced radiology and pathology benefit from DDN’s ability to process imaging data 10x faster, supporting rapid diagnosis and improved outcomes.
Genomics and Bioinformatics
Research institutions and pharma organizations use DDN to streamline genome-scale analyses, accelerate precision medicine, and automate complex bioinformatics workflows.
Clinical NLP and Documentation
Generative AI assistants built on DDN’s platform provide real-time transcription, document summarization, and case note generation—reducing manual effort and administrative burden.
Operational Analytics
Hospitals use real-time AI analytics on DDN to identify billing anomalies, patient risk patterns, and throughput inefficiencies with sub-millisecond response times.
The Infrastructure Advantage for Healthcare Leaders
In a competitive, data-driven healthcare landscape, DDN offers more than speed. It offers an intelligent foundation for AI innovation that is:
- Real-time ready
- Governance aware
- Scalable to the demands of AI/ML and generative pipelines
- Optimized for GPU performance
- Trusted across life sciences, pharma, and medtech
Ready to Power What’s Next in Healthcare AI?
With healthcare data volumes growing exponentially and AI models becoming more complex, the infrastructure you choose will either accelerate your future—or limit it. DDN’s Data Intelligence Platform is the intelligent choice for organizations looking to lead in AI-powered healthcare innovation. Visit our website to learn more.
