High-density AI platform for healthcare and life sciences

Prodrive Technologies’ scalable Zeus rack server brings great inferencing performance with 5th Gen Intel® Xeon® Scalable processor

Artificial Intelligence is revolutionizing medical industry and life sciences, driving progress in medical imaging, patient monitoring, disease diagnosis, drug discovery, genome sequencing, and beyond. It is streamlining processes, cutting down on costly simulations, and boosting the efficiency of skilled professionals. Yet, they require substantial hardware resources.

In response to this requirement, Prodrive Technologies’ rack server based on the 5th Gen Intel® Xeon® Scalable processors forms the backbone of modern AI healthcare systems to accelerate medical image processing speed and quality, and increase efficiency in DNA sequencing.

Key features:

  • Dual 5th Gen Intel® Xeon® Scalable CPUs
  • Up to 6 double-width GPUs in 2U form factor
  • Up to 2TB of DDR5 memory
  • High-end server for machine learning
  • Highly efficient standalone and in clusters
  • Scalable AI computing solution
  • Long lifecycle
  • Simplified deployment of AI projects
  • Fast processing for massive workloads and data analysis in healthcare & life science sectors

 

Explore the capabilities of Prodrive’s Zeus rack server and harness the power of scalable AI platforms to optimize the solution for healthcare and life science markets. Contact us for further information.

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Or read more about the medical AI revolution in the white paper. 

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Xeon Q1 2023 Xeon Badge 1 (1)

5th Gen Intel® Xeon® Scalable CPU

Up to 30% improvement in genome sequencing compared to the previous generation

Scalable Blue

Great scalability

From a single CPU to multi-rack systems

High Density Blue

High density

Up to 6 double-width GPUs in a 2U server

Ai Ready Blue

AI ready platform

Supports with SDKs and image processing applications

Fast processing for massive workloads and data analysis in medical & life science sectors

AI is revolutionizing medical specialties, enhancing patient care, and improving treatment outcomes. However, the effectiveness of AI hinges on both the quality of data and the utilization of increased processing power.  This white paper explores various AI use cases in the medical industry and life sciences, such as real-time image processing in MRI and endoscopy, and genome sequencing. Based on each application’s requirements, solutions scaling from integrated computers through industrial-grade servers to cloud processing are proposed. Additionally, it delves into specific technological advancements, illustrating the efficiency improvements in the latest generation of computing hardware. Furthermore, it addresses how optimized infrastructure can streamline researchers’ workload in deploying AI models and maximize resource utilization. Lastly, it outlines expected growth opportunities in the AI market.

 

Curious to know how our AI computing platforms help bring advanced and affordable care to the healthcare and life science sectors? Download this white paper or contact us to acquire detailed information.

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