In the rapidly evolving field of biomedical research, artificial intelligence (AI) is transforming how we approach drug discovery, genomics, and personalized medicine. At the heart of this revolution lies the need for robust, high-performance AI infrastructure that can handle massive datasets, accelerate AI workflows, and deliver real-time insights.
DDN Infinia, a cutting-edge AI-native data intelligence platform, is uniquely positioned to meet these demands, particularly when paired with advanced technologies like NVIDIA BioNeMo. This whitepaper explores how DDN Infinia empowers biomedical researchers to unlock groundbreaking discoveries with unparalleled speed, scalability, and efficiency.
The Biomedical Data Challenge
Biomedical research generates vast amounts of multimodal data, from genomic sequences and protein structures to medical imaging and electronic health records (EHRs). These datasets are not only large – often scaling to petabytes – but also complex, requiring seamless integration and real-time processing to fuel AI-driven insights.
Traditional AI storage solutions and legacy systems struggle to keep pace, leading to data bottlenecks, slow query times, and underutilized GPU resources. For researchers leveraging generative AI models like those in NVIDIA BioNeMo, these inefficiencies can significantly delay critical discoveries.
DDN Infinia addresses these challenges head-on, providing a unified, high-performance data lake that streamlines data management and accelerates AI workflows. By integrating with NVIDIA BioNeMo and other AI frameworks, Infinia ensures that biomedical researchers can focus on innovation rather than infrastructure.
DDN Infinia: A Game-Changer for Biomedical AI
DDN Infinia is purpose-built for AI-driven workloads, offering sub-millisecond latency, terabytes-per-second throughput, and the ability to scale from terabytes to exabytes. Its AI-native architecture eliminates bottlenecks, optimizes GPU utilization, and supports multimodal data pipelines—making it an ideal platform for biomedical applications.
Here’s how Infinia empowers researchers in the biomedical space:
1. Accelerating Drug Discovery with NVIDIA BioNeMo
NVIDIA BioNeMo is an open-source framework designed to streamline the development of biomolecular AI models for drug discovery. It provides pretrained models, optimized workflows, and tools for processing DNA, RNA, and protein data. However, these models require high-speed access to massive datasets and efficient storage for AI pipelines to achieve peak performance.
DDN Infinia integrates seamlessly with BioNeMo, enabling researchers to:
- Access Data Instantly: Infinia’s high-speed metadata indexing and event-driven data movement ensure that BioNeMo models can access genomic and proteomic datasets in real time, reducing model training times from weeks to days.
- Scale Effortlessly: With support for up to 100,000 GPUs and millions of simultaneous clients, Infinia scales to meet the needs of large-scale drug discovery projects, such as virtual screening or de novo molecule design.
- Optimize GPU Utilization: By eliminating I/O bottlenecks, Infinia ensures that NVIDIA GPUs—critical for BioNeMo’s accelerated computing—run at 99% efficiency, maximizing ROI on compute investments.
For example, a research team using BioNeMo to predict protein structures can leverage Infinia’s unified data lake to cross-reference genomic sequences, 3D protein models, and experimental data, delivering faster and more accurate predictions.
2. Streamlining Multimodal Biomedical Workflows
Biomedical research often involves integrating diverse data types, such as imaging from PACS systems, genomic sequences, and clinical notes from EHRs. Infinia’s ability to unify multimodal data across edge, core, and cloud environments simplifies these workflows.
When paired with NVIDIA NeMo for natural language processing (NLP) or convolutional neural networks (CNNs) for image analysis, Infinia enables:
- High-Speed Data Ingestion: Infinia’s parallel processing capabilities extract data from multiple sources with minimal latency, ensuring AI models have immediate access to the latest information.
- Efficient Transformation: By supporting frameworks like TensorFlow, PyTorch, and NVIDIA NeMo, Infinia accelerates data transformation tasks, such as NLP-based insight extraction from clinical notes or tumor segmentation in medical imaging.
- Secure Data Management: Zero-trust security and federated learning features ensure compliance with HIPAA while enabling collaborative research.
Outcome: Multimodal data pipelines run faster and more efficiently, supported by modern AI storage solutions built for healthcare.
3. Enabling Real-Time Insights for Precision Medicine
In precision medicine, speed is critical. Clinicians need AI-generated insights—such as genomic profiles or treatment recommendations—in real time to make informed decisions.
Infinia’s sub-millisecond response times and integration with NVIDIA Spectrum-X networking deliver instant access to AI-driven results. For instance:
- A hospital using BioNeMo to analyze patient genomic data can rely on Infinia for rapid query responses, enabling clinicians to identify targeted therapies faster.
- Automated Quality of Service (QoS) ensures mission-critical workloads like real-time MRI analysis are prioritized without compromising performance for other tasks.
Here, AI infrastructure enables clinicians to trust that insights are not only accurate but also delivered in time-sensitive clinical windows.
4. Supporting Collaborative Research with Multi-Tenancy
Biomedical research often involves collaboration across institutions, each with its own data and compute resources. Infinia’s native multi-tenancy features allow secure data isolation and resource sharing, making it easier for research teams to work together. For example:
- A consortium using BioNeMo to study rare diseases can leverage Infinia to create isolated tenants for each institution, ensuring data privacy while enabling shared access to AI models.
- Infinia’s hardware-agnostic design and containerized architecture support deployment in diverse environments, from on-premises data centers to cloud platforms like Google Cloud Marketplace.
This ensures that enterprise-scale AI infrastructure solutions can support both small labs and large global consortia.
Real-World Impact: DDN Infinia and NVIDIA BioNeMo in Action
Consider a research hospital aiming to develop personalized cancer treatments. By integrating DDN Infinia with NVIDIA BioNeMo, the hospital can:
- Extract and Transform Data: Infinia pulls imaging, genomic, and EHR data into a unified data lake, while BioNeMo’s NLP models extract insights from clinical notes and CNNs analyze tumor images.
- Train and Fine-Tune Models: Infinia’s high-throughput pipelines feed data to BioNeMo’s pretrained models, enabling rapid training and fine-tuning for specific patient cohorts.
- Deliver Real-Time Insights: Infinia’s low-latency architecture ensures that AI-generated treatment recommendations are available to clinicians in real time, improving patient outcomes.
- Secure and Scale: Infinia’s security features protect patient data, while its scalability supports growing datasets and collaborative research across multiple institutions.
This end-to-end workflow showcases how modern AI infrastructure and storage for healthcare enable faster, more precise biomedical breakthroughs.
Why Choose DDN Infinia for Biomedical AI?
- Unmatched Performance: Up to 100x faster AI data acceleration and 10x lower latency vs. traditional storage.
- Seamless Integration: Native support for NVIDIA BioNeMo, NeMo, TensorFlow, and PyTorch ensures compatibility with biomedical workflows.
- Scalability and Flexibility: From small labs to global research consortia, Infinia scales seamlessly across on-premises, cloud, and hybrid environments.
- Cost Efficiency: Optimized GPU utilization and lower power/cooling needs to deliver 10x savings.
Conclusion: Join the AI Revolution in Biomedical Research
As AI reshapes biomedical innovation, DDN Infinia delivers the data intelligence and AI storage solutions needed to accelerate drug discovery, genomics, and precision medicine.
Whether decoding genomes, designing new molecules, or delivering real-time clinical insights, DDN Infinia provides the AI infrastructure for healthcare and life sciences that makes breakthroughs possible.
Ready to transform your biomedical research? Contact us or visit our website to learn how DDN Infinia can power your AI-driven discoveries.
