Executive Summary
Guardant Health, a global leader in precision oncology and liquid biopsy, faces the challenge of processing massive volumes of genomic and multiomic data to deliver actionable insights for cancer detection and patient care.
By leveraging DDN’s high-performance AI infrastructure solutions in combination with the DDN GRIDScaler platform, Guardant Health transformed its data infrastructure to accelerate analytics, reduce costs, and deliver insights faster than ever—reinforcing its leadership in AI-driven oncology.
The Challenge
Guardant Health’s rapid growth and expanding product portfolio created a set of complex data challenges:
- Data volume explosion: Increasing sequencing and multiomic profiling generated terabytes of data daily.
- Performance bottlenecks: Existing storage infrastructure could not keep up with AI workloads, slowing analyses.
- Rising costs: Scaling traditional storage and compute platforms was expensive and inefficient.
- Competitive urgency: Maintaining leadership in precision oncology required fast, accurate insights for clinical and research applications.
The Solution
Guardant Health deployed a combined solution: DDN high-performance infrastructure to handle massive data volumes, integrated with the SFA platform.
Key Capabilities:
DDN High-Performance Data Infrastructure:
- Ultra-fast read/write speeds for massive genomic and multiomic datasets
- Parallelized data access to support multiple concurrent AI pipelines
- Scalable, reliable infrastructure that grows with Guardant’s expanding data needs
AI Platform:
- Advanced machine learning engine for multiomic analytics
- Predictive modeling for biomarker discovery and patient stratification
- Seamless integration with DDN data infrastructure for end-to-end performance
This combination allowed Guardant’s teams to accelerate data processing, enabling AI-driven insights at unprecedented speed.
Results & Impact
1. Accelerated Analytics:
- Multiomic datasets processed 50–70% faster, reducing turnaround time for insights.
2. Cost Optimization:
- Storage and compute costs reduced by 30–40%, allowing Guardant to reinvest in R&D and clinical initiatives.
3. Operational Efficiency:
- Multiple AI pipelines run simultaneously without bottlenecks.
- Reliable, high-throughput access to critical datasets improved overall productivity.
4. Enhanced Competitive Advantage:
- Faster, AI-powered insights support Guardant’s market leadership in precision oncology.
- Scalable infrastructure positions Guardant for continued growth in new diagnostics and multiomic applications.
Conclusion
Guardant Health’s integration of DDN high-performance AI infrastructure with the SFA AI platform demonstrates how cutting-edge infrastructure and AI can transform the delivery of precision oncology insights. The solution not only accelerated analytics and reduced costs but also reinforced Guardant’s position as a global leader in AI-driven cancer diagnostics.
For organizations seeking to harness AI and high-performance data infrastructure, Guardant’s success with DDN and Infinia offers a proven blueprint for achieving speed, scale, and cost efficiency.
