Sovereign by Architecture: Building AI Infrastructure for the EU AI Act
The EU AI Act takes effect August 2026. Compliance starts at the infrastructure layer. Learn why sovereign AI needs OpenStack, Kubernetes, and Atmosphere.
Insights, updates, and stories from our team
The EU AI Act takes effect August 2026. Compliance starts at the infrastructure layer. Learn why sovereign AI needs OpenStack, Kubernetes, and Atmosphere.
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Atmosphere transforms local storage in OpenStack, offering performance, scalability, and reliability for hybrid, edge, and high-performance cloud workloads.
Local storage plays a pivotal role in cloud infrastructure, offering fast, low-latency access to data by keeping it physically close to compute resources. Whether it's powering ephemeral virtual machines, caching frequently accessed data, or running high-performance workloads, local storage is a cornerstone for delivering speed and efficiency in modern cloud environments. Its simplicity and cost-effectiveness make it a popular choice for organizations looking to optimize their cloud infrastructure.
However, traditional local storage in OpenStack environments comes with its share of challenges. Scalability can be limited, as expanding storage often requires physically adding new drives to each compute node. Redundancy and fault tolerance are also concerns, as local storage is inherently tied to individual hosts, making it vulnerable to hardware failures. Additionally, managing local storage across distributed nodes can quickly become complex, particularly in multi-region or hybrid cloud deployments.
The IDC predicts that in 2025, 60% of infrastructure and operations leaders are expected to prioritize storage performance and scalability to support cloud-native workloads.
Atmosphere overcomes these challenges by enhancing local storage in OpenStack. With Kubernetes-native architecture, Ceph integration, and dynamic provisioning, it delivers the perfect balance of speed, flexibility, and scalability for modern cloud workloads.
While local storage provides performance and simplicity, it comes with several limitations when used in OpenStack environments, particularly for modern, scalable cloud deployments:
Local storage is inherently tied to the compute node it resides on, meaning data stored locally does not have built-in redundancy. If a node experiences hardware failure, all data on its local drives is at risk of being lost. This lack of fault tolerance makes traditional local storage unsuitable for critical workloads that require high availability or data persistence. In distributed environments, maintaining data durability often requires external storage systems, adding complexity and cost. Without redundancy, organizations must rely on manual backups or third-party solutions, which can disrupt operations and increase downtime.
Scaling local storage resources in OpenStack can be a cumbersome process. Adding capacity typically involves physically installing more drives in each compute node, which not only takes time but also introduces logistical challenges. Additionally, scaling is limited by the physical constraints of each server, which can lead to storage bottlenecks in high-demand environments. As workloads grow and evolve, this lack of dynamic scalability becomes a major limitation, especially for organizations needing to adjust storage resources quickly in response to user demand or seasonal spikes.
Managing local storage across a large OpenStack deployment with multiple compute nodes can quickly become operationally complex. Each node operates independently, requiring administrators to monitor and manage storage usage, capacity, and performance on a per-node basis. Balancing workloads across nodes becomes another challenge, as there are no native mechanisms to redistribute data or workloads when certain nodes are overutilized. The lack of centralized control increases the risk of inefficiencies and creates additional overhead for IT teams tasked with maintaining consistency across the environment.
As organizations shift toward hybrid and cloud-native architectures, the isolated nature of local storage becomes a significant barrier. Local storage is confined to the physical compute node, making it difficult to share data across nodes or regions. This lack of interoperability limits its use in hybrid deployments that combine on-premises and public cloud resources. Furthermore, cloud-native technologies like Kubernetes require more flexible and scalable storage solutions that can support containerized applications. Traditional local storage struggles to meet these requirements, making it less than ideal for modern cloud-native workloads.
These challenges highlight the need for a modern solution that retains the speed and simplicity of local storage while addressing its limitations. This is exactly where Atmosphere provides an edge, transforming local storage into a more scalable, redundant, and manageable resource for OpenStack deployments.
Atmosphere redefines how local storage is managed in OpenStack, combining its inherent speed and simplicity with modern scalability, flexibility, and fault tolerance. By leveraging Kubernetes-native architecture, Ceph integration, advanced automation, and support for third-party storage platforms, Atmosphere transforms local storage into a robust solution for today’s dynamic cloud workloads. Here’s how Atmosphere achieves this:
Atmosphere utilizes Kubernetes to manage containerized OpenStack services, enabling a modern, cloud-native approach to local storage.
You can learn more about how Atmosphere seamlessly integrates Kubernetes and OpenStack in the post, Inside the Kubernetes Sandwich.
Atmosphere bridges the gap between the speed of local storage and the durability of distributed systems by integrating seamlessly with Ceph.
If you’d like to learn more about Atmosphere’s approach to storage and third-party integrations, check out our post Deploying Atmosphere: A Guide to Storage Integration.
In addition to local storage and Ceph, Atmosphere integrates with third-party storage solutions like Pure Storage and other enterprise-grade platforms.
Atmosphere automates the provisioning and scaling of local storage, eliminating the need for manual configurations.
Atmosphere is designed to maximize the performance potential of local storage, making it ideal for modern workloads.
Managing storage across nodes in a distributed OpenStack deployment can be challenging, but Atmosphere simplifies this with centralized tools and workflows.
Atmosphere’s approach to local storage goes beyond addressing traditional limitations—it unlocks new opportunities for performance, flexibility, and efficiency in OpenStack environments. By combining modern cloud-native technologies with the inherent speed of local storage, Atmosphere delivers tangible benefits across a variety of use cases.
Atmosphere enhances high-performance workloads by providing faster boot times for virtual machines and containers, enabling quick deployments and scaling. For I/O-intensive applications like databases and analytics, its low-latency access to local storage ensures faster processing and responsiveness, making it ideal for resource-heavy tasks. If you want to know more about how Atmosphere simplifies HPC operations check out this blog post.

In hybrid and multi-cloud setups, Atmosphere seamlessly integrates local storage with public clouds and distributed environments. This allows organizations to balance workloads efficiently while maintaining consistent performance across multi-region deployments, ensuring scalability without compromises.
At the edge, Atmosphere excels by minimizing latency through local storage at edge nodes, enabling real-time processing for applications like IoT and video streaming. Its centralized management tools simplify the oversight of distributed edge environments, reducing operational complexity.
Atmosphere also simplifies disaster recovery with fast, reliable ZFS snapshots and automated failovers using Kubernetes orchestration. These features ensure business continuity, minimizing downtime and protecting critical data during unexpected disruptions. You can learn more about from this blog post Atmosphere’s Disaster Recovery for Uninterrupted Business Operations .
By delivering high performance, hybrid flexibility, edge readiness, and robust disaster recovery, Atmosphere transforms local storage into a powerful tool for innovation and efficiency in OpenStack environments.
Implementing Atmosphere with local storage in OpenStack requires strategic planning to fully leverage its capabilities while ensuring optimal performance, scalability, and reliability. Below are key considerations and best practices to guide deployment:
Selecting the appropriate hardware is crucial for maximizing the benefits of local storage. High-performance drives, such as NVMe or SSDs, are ideal for workloads that demand low latency and high throughput, such as databases, analytics, and AI/ML training. These drives not only deliver exceptional speed but also reduce bottlenecks for I/O-heavy applications. Ensuring that the compute nodes are equipped with modern CPUs and NICs further enhances the efficiency of local storage operations.
While local storage excels in speed, integrating it with a distributed storage solution like Ceph adds essential redundancy and fault tolerance. Atmosphere enables hybrid setups, where performance-critical workloads use local storage for rapid access, while persistent workloads are replicated on Ceph to ensure durability. This approach balances performance with reliability, allowing organizations to optimize their infrastructure for a mix of ephemeral and persistent use cases.
For organizations operating in multi-region or edge environments, designing storage systems to suit these distributed setups is vital. Atmosphere simplifies multi-region deployments by providing centralized management and seamless integration of local storage across regions. If you want to learn more about this topic, check out our blog post about Build a resilient multi-region cloud with Atmosphere.
At the edge, local storage can deliver minimal latency and real-time processing for applications like IoT and video streaming. Pairing local storage with Atmosphere’s Kubernetes orchestration ensures that edge and multi-region workloads remain scalable, consistent, and easy to manage.
By focusing on these best practices—choosing high-performance hardware, implementing hybrid storage setups for redundancy, and designing for distributed environments—organizations can fully unlock the potential of Atmosphere’s local storage capabilities. These strategies ensure a robust, scalable, and efficient OpenStack deployment that meets the demands of modern cloud workloads.
Atmosphere transforms the way local storage is managed and utilized within OpenStack environments by combining high performance, scalability, and reliability. By leveraging Kubernetes-native architecture, Ceph integration, and dynamic provisioning, it addresses traditional limitations while unlocking new possibilities for hybrid, edge, and high-performance workloads.
With faster boot times, reduced latency, seamless multi-cloud support, and simplified disaster recovery, Atmosphere transforms local storage into a strategic advantage. By following best practices—choosing the right hardware, implementing hybrid setups, and designing for distributed environments—organizations can build scalable, resilient cloud infrastructure tailored to modern demands.
If you’d like to bring Atmosphere into your organization with the help of our team of experts, reach out to our sales team today!
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