What happens when your PACS needs more storage, but keeping everything on fast NVMe is no longer practical?
Medical imaging archives grow quickly as hospitals and diagnostic centers store CT scans, MRI studies, X-rays, and other DICOM files for long-term access. As the archive expands, high-performance NVMe storage can fill up faster and increase infrastructure costs. Moving all data to slower, high-capacity storage solves the capacity problem, but it can make frequently accessed studies slower to retrieve. The real challenge is finding the right balance between speed, capacity, and cost.
A PACS storage architecture based on storage tiering addresses this challenge by placing data on different storage tiers according to how often it’s accessed. Recent and frequently viewed studies can remain on fast NVMe hot storage, while older studies can move to high-capacity cold storage. In this guide, we’ll show how to plan DICOM storage tiers, size hot and cold capacity, and build a PACS archive that can scale without putting every medical image on expensive high-speed storage.
What Is PACS Server Storage Architecture?
Quick Answer
PACS server storage architecture is the design used to store, access, manage, and archive medical imaging data such as DICOM studies. A tiered architecture separates frequently accessed studies on fast storage such as NVMe from older studies stored on higher-capacity, lower-cost storage.
A PACS environment can generate a large amount of imaging data over time, making storage design an important part of system performance and scalability. Instead of keeping every DICOM study on the same type of storage, a tiered architecture assigns data to storage based on access requirements. Recent studies can stay on high-performance NVMe storage for faster retrieval, while older studies can move to larger and more cost-efficient archive storage. For organizations managing growing imaging workloads, cheapest dedicated server hosting can also provide dedicated resources and greater control over storage configurations. This approach helps control storage costs, improve access to active medical images, and provide room for future PACS data growth.
Why Keeping All DICOM Data on NVMe Isn’t Always Practical
NVMe storage offers excellent speed and low latency, making it a strong choice for active PACS workloads and frequently accessed DICOM studies. However, keeping the entire medical imaging archive on NVMe is not always practical because storage costs increase as data volume grows. Older CT scans, MRI images, X-rays, and other DICOM files may be accessed only occasionally but can still consume a significant amount of high-performance capacity. A tiered PACS storage architecture solves this issue by keeping frequently accessed studies on NVMe while moving older data to high-capacity HDD or cold storage. This provides fast access where it matters without using expensive NVMe capacity for the entire archive.
How PACS Storage Tiering Architecture Works
PACS storage tiering architecture organizes DICOM data across different storage types based on how often the data is accessed. Frequently viewed medical studies can remain on fast NVMe storage, while older and less frequently accessed files can move to high-capacity archive storage. This approach balances PACS performance, storage capacity, and cost while making it easier to scale the archive as imaging data continues to grow. The table below shows how each storage tier fits into a typical PACS environment.
| Storage Tier | Technology | Best For | Main Priority |
| Hot | NVMe SSD | Recent/active studies | Speed |
| Warm | SSD/SATA | Less frequently accessed studies | Balance |
| Cold | HDD/JBOD | Long-term PACS archive | Capacity |
| Backup | Separate storage | Disaster recovery | Data protection |
How to Size Storage for a PACS Server
Sizing storage for a PACS server requires more than calculating the current amount of DICOM data. You need to consider the number of imaging studies generated each day, average study size, required retention period, annual data growth, hot storage capacity, cold archive capacity, and backup space. Start by estimating your daily imaging volume and multiply it by the average DICOM study size to calculate the approximate storage generated each day. Then account for long-term retention, future growth, and additional capacity for backups and system overhead. A tiered PACS storage architecture can further improve resource planning by reserving fast NVMe storage for active studies and using high-capacity storage for older archives.
How Orthanc PACS Server Optimization Can Improve Storage Management
Quick Answer
Orthanc PACS server optimization can improve storage management by organizing DICOM data efficiently, controlling unnecessary storage growth, and separating frequently accessed studies from long-term archives. Combining Orthanc with suitable storage tiers can help maintain fast access to active medical images while reducing pressure on high-performance storage.
Orthanc is a lightweight DICOM server that can support medical imaging workflows and centralized study management. As the number of DICOM files increases, inefficient storage practices can lead to unnecessary disk usage and slower operations. Optimizing the Orthanc deployment involves monitoring storage growth, managing older studies, selecting appropriate database and storage locations, and using fast storage for workloads that require frequent access. A well-planned PACS server storage architecture can also connect Orthanc with separate hot and cold storage tiers.
How to Design a Scalable PACS Storage Architecture
A scalable PACS storage architecture should separate medical imaging data according to access frequency, performance needs, and retention requirements. Instead of storing every DICOM study on a single storage system, use a combination of fast NVMe storage for active studies, high-capacity storage for older archives, and separate backup infrastructure for recovery. This tiered design makes it easier to add storage as imaging volumes increase while maintaining reliable access to frequently used studies. The table below shows how each layer can fit into a scalable PACS environment.
Choosing Server Hardware for PACS Storage
Choosing the right server hardware for PACS storage depends on imaging volume, DICOM file sizes, user access patterns, retention requirements, and future growth. A suitable setup should provide enough CPU and RAM for PACS and database workloads, fast NVMe storage for frequently accessed studies, and high-capacity HDD or JBOD storage for long-term archives. Reliable networking and separate backup storage are also important for moving and protecting large medical imaging datasets.
If your PACS environment needs dedicated resources, flexible storage configurations, and room for future expansion, a Storage Dedicated Server Hosting can provide greater control over the infrastructure. You can explore cheapest dedicated server hosting options and choose CPU, RAM, NVMe, and high-capacity storage based on your actual imaging workload.
Frequently Asked Questions
1. What is PACS server storage architecture?
PACS server storage architecture is the system used to store, access, manage, and archive DICOM medical images. A tiered setup can use fast NVMe storage for frequently accessed studies and high-capacity storage for older archive data.
2. Why use NVMe storage for PACS?
NVMe storage provides high speed and low latency, making it suitable for frequently accessed DICOM studies. Keeping active medical images on NVMe can improve retrieval performance without requiring the entire PACS archive to use high-performance storage.
3. What is DICOM storage tiering?
DICOM storage tiering places medical imaging data on different storage types according to access frequency. Recent studies can remain on fast storage, while older and less frequently accessed studies can move to high-capacity archive storage.
4. How much storage does a PACS server need?
PACS storage requirements depend on the number of studies generated, average DICOM study size, retention period, annual growth, and backup requirements. Storage should include enough capacity for current data as well as future growth and recovery needs.
5. Is JBOD suitable for PACS archives?
JBOD can be useful for PACS archives because it provides access to multiple high-capacity drives and allows storage capacity to be expanded. However, JBOD itself does not provide redundancy, so a separate backup and data protection strategy is still required.
Wrapping Up
A well-planned PACS storage architecture helps healthcare organizations balance fast DICOM access, storage capacity, and long-term growth. Keeping active studies on NVMe while moving older data to high-capacity cold storage can reduce pressure on expensive high-performance storage. With proper storage sizing, backup planning, and scalable server hardware, PACS environments can handle growing medical imaging workloads more efficiently.
For organizations that need dedicated resources and flexible storage configurations, OnliveServer offers dedicated hosting options that can be matched to specific PACS workloads. Choose a configuration with the CPU, RAM, NVMe, and archive capacity your imaging environment actually requires.
