Recorded Health at Supercomputing 2025: How HPC Is Powering the Next Era of Healthcare AI

Supercomputing 2025 (SC25) brought together the world’s leading minds in high-performance computing (HPC), advanced AI acceleration, and scientific research. The Supercomputing Conference series, often referred to simply as “SC”, is the world’s premier event for HPC, founded in 1988 and jointly sponsored by the IEEE Computer Society and the ACM (About SC).

Held this year in St. Louis, Missouri, SC25 showcased breakthroughs in exascale computing, accelerated architectures, and next-generation AI systems that are shaping global innovation.

Our cofounder Shahram Rahimi attended the conference to represent Recorded Health and explore how HPC advancements can further elevate healthcare AI, clinical insights, and patient-centered technology.

Why Supercomputing Matters for Healthcare

Healthcare is rapidly becoming one of the most computationally intensive industries. Clinical AI models are increasing in complexity, and multimodal health data continues to expand at scale. HPC provides the computational backbone needed to support this transformation.

For context:

• HPC enables massive-scale AI training

• Hospitals produce enormous data volumes, up to 50 petabytes annually per facility (NIH Data Science)

• Clinical AI requires the ability to process text, audio, imaging, and EHR streams at high throughput (NLM Biomedical Informatics)

  
  

These realities underscore why HPC is crucial for the next generation of healthcare intelligence.

Highlights From SC25

Below are themes that aligned strongly with Recorded Health’s mission, each supported by leading HPC research sources.

AI Acceleration Is Redefining Clinical Workflows

SC25 featured advances in GPUs, AI-specific accelerators, and high-bandwidth memory systems technologies that significantly reduce model training and inference time.

For example:

• GPU advancements continue to push AI performance

• HPC-optimized neural network training improves speed and accuracy

  
  

These capabilities directly impact real-time clinical AI deployment.

Secure, Federated, and Confidential Computing Is Rising

Healthcare requires strict data protections. SC25 highlighted new architectures that support:

• Confidential computing

• Federated learning at scale

• Encryption-at-use technologies

  
  

These models align with healthcare's need for privacy-preserving AI.

Multimodal Data Handling at Massive Scale

Modern clinical AI requires simultaneous processing of text, audio, imaging, and structured data.

HPC breakthroughs showcased at SC25 support this through:

• High-speed parallel data pipelines

• Advanced storage and I/O systems

• Scalable frameworks for multimodal ML

  
  

These capabilities are foundational for platforms like Recorded Health that rely on multimodal understanding.

Research–Industry Collaboration Is Accelerating

One of SC’s strengths is its unique ecosystem of:

• National labs

• Universities

• Industry leaders

  
  

These collaborations drive rapid translation of HPC innovation into practical applications, including healthcare.

What This Means for Recorded Health

Recorded Health is committed to delivering trusted, responsible, and advanced clinical AI. The insights gained at SC25 reinforce our direction as we continue to adopt and integrate cutting-edge compute capabilities.

This includes:

• Leveraging HPC-inspired performance optimizations

• Incorporating responsible AI frameworks

• Scaling clinical intelligence tools for health systems

• Strengthening secure and privacy-forward data infrastructure

Learn more about our mission: ➡️ About

Looking Ahead

As healthcare evolves, HPC will play an increasingly critical role in bringing advanced AI to the clinical frontlines. Events like Supercomputing 2025 offer a preview of the computational future and Recorded Health is excited to help bring those innovations into real-world patient care.

We look forward to sharing more updates on how HPC is shaping our platform and accelerating healthcare transformation.