Vultr's recent launch of dedicated support for the healthcare and life sciences industry marks a significant step forward. This blog post explores how Vultr integrates its solutions within an open infrastructure stack, collaborating with our Cloud Alliance partners. We’ll focus on the genomics and AI-driven personalized care use case, demonstrating how our approach empowers healthcare organizations to enhance patient outcomes.

Genomics and personalized healthcare: Powered by Vultr

In personalized medicine, healthcare providers use genomic data to develop tailored treatment plans. The challenge is processing vast amounts of complex data, such as DNA sequences, to identify genetic variants that predict disease risk or guide personalized therapies. Genomic sequencing requires immense computational power to analyze these datasets, often using AI models to speed up the identification of genetic markers and actionable insights. AI-driven solutions improve the speed and accuracy of data analysis, supporting precision medicine and enabling treatments based on each patient's unique genetic profile.

Vultr provides the computational power to process large genomic datasets and run AI models that accelerate the identification of genetic markers. This allows healthcare providers to deliver precision medicine with treatments tailored to each patient's unique genetic profile.

Use case for open stack infrastructure in healthcare

Business Need: Processing vast amounts of genomic data requires robust infrastructure for healthcare organizations to efficiently deliver personalized treatment plans in genomics and personalized medicine. This requires robust data handling, real-time analytics, and compliance with healthcare regulations. Scalability is crucial as the volume of genomic data continues to grow. Additionally, organizations must avoid vendor lock-in, ensuring they can integrate various technologies for a seamless data pipeline and workflow. Many healthcare businesses must also integrate legacy systems and adopt multicloud environments for flexibility.

To meet healthcare organizations' business needs, Vultr provides flexibility through its composable infrastructure and commitment to democratizing AI. By ensuring access to AMD and NVIDIA GPUs across 32 global data center locations, Vultr delivers the high-performance compute power necessary for genomics, medical imaging, and more—enabling cost-effective AI solutions. Additionally, Vultr’s composable infrastructure, supported by the Vultr Cloud Alliance, Vultr Marketplace, and extensive API integrations, eliminates vendor lock-in, allowing organizations to build scalable, open stack solutions for AI and cloud workloads, with the flexibility to select the tools and technologies that best fit their needs.

Vultr open stack package for genomics and AI-driven personalized care

Cloud compute

Vultr offers high-performance cloud compute, including bare metal and Cloud GPU instances powered by AMD and NVIDIA. These resources provide the flexibility and power required for data-intensive healthcare workloads such as genomics, medical imaging, and AI-driven research.

• Vultr Cloud GPU infrastructure leverages AMD and NVIDIA accelerators for AI model training, real-time inferencing, and large-scale data processing.

• Bare Metal is used for workloads requiring dedicated resources, Vultr’s bare metal servers offer unmatched performance, which is ideal for handling massive datasets in healthcare.

This flexible compute setup ensures that healthcare organizations can scale AI and cloud workloads with high performance and cost efficiency.

Secure networking

Vultr’s networking provides high-performance, secure, low-latency connections through VPC and private networking, ensuring fast, compliant data transfers for healthcare workloads like genomics and medical imaging. This can be extended with Console Connect for private network connections, enabling even faster, secure data transfers across Vultr’s global infrastructure.

• Integration with Vultr: Connect Vultr data centers with applications, IoT devices, and other clouds through Console Connect Marketplace, enabling secure, seamless data integration, including legacy systems and multicloud connectivity for genomics and AI-driven personalized care.

• Global MPLS Backbone: Console Connect provides fast, secure transfers between Vultr’s data centers. With Console Connect EdgeSIM and Cloud Router, organizations can establish low-latency connections to IoT devices and external clouds, enhancing data integration for genomics and AI-driven personalized care.

Storage

Vultr’s high-performance storage solutions include block storage, object storage, and file systems, which provide the flexibility needed for various data-heavy tasks like genomics and medical imaging. Enhanced by DDN’s data intelligence platform, these solutions deliver the massive throughput required for efficient data management and processing.

• Integration with Vultr: DDN has a direct plug-in to Vultr servers, providing a seamless, high-performance platform for managing large datasets at-scale, ideal for data-intensive applications like AI, genomics, and personalized medicine.

• Parallel File Systems: By utilizing parallel file systems, DDN ensures extremely fast and efficient access to multi-petabyte datasets, which are essential for large-scale AI/ML workloads in healthcare.

This combination offers a scalable, high-throughput solution for healthcare organizations to handle complex data requirements efficiently.

Vector Database

Vultr’s Serverless Inference is enhanced by Qdrant, a vector database optimized for Retrieval-Augmented Generation (RAG), offering fast, real-time data retrieval.

• Integration with Vultr: Qdrant integrates through Kubernetes-based APIs, deploying Qdrant Hybrid Cloud in Vultr Kubernetes Engine (VKE) clusters, enabling users to create scalable, high-availability vector database clusters with SSL support through Nginx Ingress and Cert Manager. (Documentation).

• RAG Capabilities: Qdrant’s RAG framework supports real-time search applications across various industries, including potential use cases in genomics and healthcare. Its ability to quickly retrieve relevant data can enhance the identification of patterns, markers, or other critical information in fields that require high-speed, scalable search operations.

This integration provides scalable, real-time vector search, enhancing Vultr's AI capabilities for applications, like genomics and healthcare.

Data Analytics

Vultr’s GPU-accelerated data analytics, powered by SQream, enables fast processing of large genomic datasets. SQream accelerates data processing, seamlessly integrating with existing pipelines and modernizing legacy systems without major overhauls, making it ideal for managing large and frequently changing datasets in data pipelines.

• Integration with Vultr: Vultr and SQream offer a powerful data processing platform designed to help healthcare organizations leverage their vast, complex datasets quickly and more effectively. This partnership helps healthcare providers make data-driven decisions, detect anomalies early, and enhance patient care by providing extremely fast data processing capabilities. This empowers organizations to optimize resource allocation, prevent adverse events, accelerate research and development of new treatments, and improve operational efficiency.

• Extract, Transform, Load (ETL) Optimization: SQream enhances ETL pipelines, allowing seamless data flow from Vultr’s compute to DDN storage for real-time genomic data analysis.

This setup ensures healthcare organizations can rapidly process and analyze massive datasets efficiently.

AI Orchestration

Vultr Kubernetes Engine enhances Vultr’s GPU infrastructure, orchestrating and scaling for AI/ML workloads in healthcare applications like genomic sequencing and medical imaging. With Run:ai integrated into the stack, AI models can be efficiently deployed, scaled, and managed across Vultr’s powerful GPUs.

• Integration with Vultr: Vultr and Run:ai collaborate directly with healthcare businesses to implement Run:ai's orchestration platform for AI workloads on Vultr, optimizing dynamic GPU resource allocation and ensuring seamless deployment.

• Dynamic GPU Management: Run:ai ensures AI models are scaled and scheduled across Vultr’s GPUs, optimizing compute resources for tasks like AI inferencing.

This orchestration ensures efficient, scalable AI workloads for healthcare AI models, such as those used in genomics and diagnostics.

Simplified cloud for healthcare’s growth and AI needs

Vultr is committed to supporting the open software ecosystem, enabling healthcare organizations to modernize their infrastructure with a secure open stack architecture. By collaborating directly with healthcare providers, Vultr tailors solutions to meet unique customer needs, ensuring organizations can effectively leverage advanced technologies for genomics and AI-driven personalized care. This partnership approach allows for seamless integration of Vultr’s high-performance cloud compute, secure networking, and data management capabilities, empowering healthcare organizations to enhance their operations and improve patient outcomes.