In today’s dynamic IT environments, disaggregated storage is rapidly emerging as a cornerstone of modern data center architecture. Although disaggregation isn’t a new concept—it’s been happening for decades with storage area networks (SANs) and virtualization—it has taken on renewed significance with the rise of high-performance applications, hybrid cloud deployments, and data-intensive workloads like AI and real-time analytics.
Lightbits, inventor of the NVMe over TCP storage protocol and innovation leader of software-defined storage, is at the forefront of this modernization movement. Our high-performance block storage solution is built for disaggregated environments, delivering the performance of local flash with the flexibility and scalability of shared storage.
What Is Disaggregated Storage?
Disaggregated storage refers to separating storage resources from compute nodes, allowing each to scale independently. This architectural shift enables organizations to break free from the rigid limitations of direct-attached storage (DAS) or traditional monolithic storage systems. In a disaggregated model, storage is treated as a shared, networked resource—accessible from any server within the infrastructure.
This approach improves utilization, simplifies infrastructure management, and enables greater agility in scaling workloads. And when combined with NVMe/TCP, it brings near-local flash performance to disaggregated deployments—without the complexity of RDMA or proprietary networking.
Why Disaggregated Storage Matters Now
The need for disaggregated storage has intensified with the proliferation of applications and microservices. At early growth stages, companies often tailor individual server configurations to suit specific workloads. For example, a database might need large CPUs, high memory, and fast local storage. But as organizations scale, this becomes unsustainable.
In large enterprises, it’s not uncommon to find 20, 30, or even 50 different server configurations deployed across environments. The result? Excess infrastructure spending and woefully low resource utilization. In one real-world case, a company found its average flash and HDD utilization at just 3–4%, with CPU at 5% and DRAM at 10%. They were paying for 100% of the infrastructure, but only using a fraction of it.
Disaggregating storage offers a more modern approach. It allows infrastructure teams to consolidate server configurations and scale compute and storage independently, without compromising on performance or availability.
Benefits of High Performance Disaggregated Storage
- Flexibility: Deploy Lightbits on any commodity hardware of your choosing with seamless Kubernetes, OpenShift, OpenStack, VMware, and more integrations.
- Hyper-efficiency: Lightbits enables up to 100% flash utilization with intelligent data services like inline compression, thin provisioning, and zero-touch tiering.
- High performance at scale: Deliver consistent sub-millisecond latency and millions of IOPS per cluster and under heavy load.
- Built-in resilience: Achieve enterprise-grade availability with always-on snapshots, replication, and data protection.
- Operational simplicity: Centralize storage across applications while reducing management overhead and infrastructure complexity.
What Workloads Benefit Most From Disaggregated Storage?
- Cloud Service Providers: Service providers benefit from the cost-efficiencies of scaling compute and storage independently.
- Big Data Analytics: Frameworks that require parallel, high-performance access to shared, large datasets.
- AI/ML: These workloads are data-intensive, requiring high throughput and low latency for training models.
- Containerized Applications: It aligns perfectly with container architecture by allowing stateless compute layers to access persistent, high-performance block volumes.
Disaggregated Storage Architecture & Adoption
Lightbits’ solution delivers high-performance, disaggregated block storage that’s natively designed with NVMe/TCP. It transforms standard TCP/IP networks into high-throughput, low-latency fabrics for mission-critical workloads—eliminating the need for expensive proprietary hardware or complex fabrics like InfiniBand.
With Lightbits, organizations can design data infrastructure around performance-optimized hardware—such as CPUs, flash, and DRAM—rather than trying to fit applications into rigid server designs dictated by DAS or legacy storage.
Emerging Technologies in Disaggregated Data Storage
Hyperscalers like AWS and Azure have long embraced disaggregated storage. AWS block storage, including offerings like io2 and Block Express, provides scalable, flash-optimized block storage decoupled from compute. These systems are built on vast pools of NVMe SSDs, tied together through intelligent software to deliver shared storage at hyperscale.
Lightbits brings this same level of performance, elasticity, and cost efficiency to enterprises—without the engineering overhead. Its software-defined block storage platform is ideal for high-performance private clouds, Kubernetes environments, and AI workloads.
Organizations adopting Lightbits can enjoy hyperscaler-like storage economics while streamlining operations and unlocking developer productivity. No more overprovisioning. No more wasted flash. Just reliable, fast, disaggregated storage that works across any infrastructure footprint.
Disaggregated Storage – Ready to get started?
As data volumes explode and real-time workloads become the norm, disaggregated storage will only grow in importance. Innovations in CXL (Compute Express Link), advanced networking, and software-defined infrastructure will further enable disaggregation of even more latency-sensitive components like DRAM.
For now, technologies like Lightbits are leading the charge—making it simple to deploy disaggregated NVMe storage with all the performance, availability, and manageability that enterprises demand.
How is Disaggregation Different from Traditional Storage?
| Feature | Disaggregated Storage | Hyper-Converged Infrastructure (HCI) | Traditional SAN |
|---|---|---|---|
| Compute & Storage | Decoupled | Tightly coupled | Specialized, proprietary arrays |
| Scaling | Independent | Must scale in lockstep (add nodes for both) | Often limited by array controllers |
| Resource Utilization | High (Pooled and shared) | Can lead to stranded or wasted resources | Moderate to High (Shared) |
| Networking | Ethernet, high-speed, low-latency fabric (e.g., NVMe-oF) | Uses standard data center network | Often requires a specialized network (e.g., Fibre Channel) |
Additional Resources – Disaggregated Storage Solutions
NVMe over TCP
Kubernetes Persistent Storage
Edge Cloud Storage
Ceph Storage
Disaggregated Storage for Private and Edge Clouds
