As IT professionals seek VMware alternatives, they often encounter hyperconverged infrastructure (HCI) solutions, but these systems can’t deliver the media and node flexibility of Ultraconverged Infrastructure (UCI). UCI solutions like VergeIO provide businesses with enhanced adaptability to support diverse storage media and node types. This approach better aligns with real-world demands and long-term infrastructure goals.
What is Ultraconverged Infrastructure?
Unlike traditional HCI or three-tier architectures, UCI integrates storage and networking directly into the hypervisor, running as services rather than virtual machines (VMs). Traditional three-tier systems rely on separate networking, virtualization, and storage hardware components. At the same time, HCI typically bundles these functions but still operates them as independent layers, each running as independent VMs.
With UCI, these critical functions are embedded within the hypervisor, improving efficiency and higher performance. This architectural shift also delivers greater flexibility in choosing media and server (node) types, allowing IT teams to scale infrastructure resources precisely according to their specific workload demands. VergeIO’s implementation of UCI is VergeOS.
The Limitations of Traditional HCI in Mixing Media and Node Types
Traditional hyperconverged infrastructures have rigid configurations requiring identical nodes for computing and storage. Organizations must scale both resources equally, which may not meet their needs. Additionally, traditional HCI solutions can’t support multiple storage types in the same environment, like flash and HDDs. These limitations force businesses to overprovision resources and spend unnecessarily on high-performance storage not aligned with their workloads.
Ultraconverged Infrastructure (UCI) addresses these challenges by enabling independent scaling of compute and storage through a mixed-node approach. It supports various storage media types, allowing IT teams to use high-density QLC flash, high-endurance TLC flash, and HDDs for optimized performance. This flexibility lets organizations assign workloads to the best resources for cost efficiency and improved performance.
Comparing HCI and UCI
The following table summarizes key differences between HCI and UCI, emphasizing how UCI overcomes many of the limitations faced by traditional HCI:
| Feature | Hyperconverged Infrastructure (HCI) | Ultraconverged Infrastructure (UCI) |
|---|---|---|
| Node Flexibility | Requires identical nodes with balanced compute and storage resources | Supports mixed nodes (compute-heavy, storage-heavy, GPU-heavy), allowing independent scaling |
| Media Flexibility | Allows independent scaling, adding only storage or computing as needed | Supports a wide range of media types (TLC, QLC, HDD) tailored to workload requirements |
| Scalability | Must add identical nodes, scaling compute and storage equally | Allows independent scaling, adding only storage or compute as needed |
| Cost Efficiency | Higher costs due to forced resource overprovisioning | Reduced costs by scaling based on actual workload needs |
| Resource Allocation | Limited flexibility, requires additional hardware to meet diverse workloads | Flexible resource allocation across different node types for varied workloads |
| Performance | Often limited by storage and compute configuration; may not fully utilize advanced hardware | Maximizes performance by optimizing workload placement and storage tiering |
| Data Placement | Typically lacks fine-grained control, with limited storage tiering | Supports advanced data placement and storage tiering, utilizing high-density QLC, TLC, and HDD |
| Use Cases | Suitable for basic virtualization needs, with uniform resource requirements | Supports diverse workloads (VDI, ML, AI, data lakes, backup) by adjusting to specific needs |
| High Availability and Recovery | Basic high availability, often requires more servers to maintain stability | Enhanced high availability with efficient recovery, requiring fewer servers |
| ROI and Resource Utilization | Lower ROI due to higher hardware costs and limited resource optimization | High ROI, optimized resource use through flexible node and media support |
| Hardware Refresh | All servers must be refreshed at once | Servers can be refreshed gradually, one at a time, as needs change |
Leveraging Mixed Storage Media: TLC, QLC, and HDDs
A key strength of UCI is its ability to support a variety of storage media, including TLC (Triple-Level Cell) flash, QLC (Quad-Level Cell) flash, and traditional HDDs. Each storage type offers unique benefits, and UCI enables IT teams to assign workloads to the most appropriate media, optimizing cost and performance without compromise.
- TLC NVMe Flash: High-performance, high-endurance TLC flash is ideal for applications requiring frequent access to data, such as real-time analytics or transactional databases. UCI platforms allocate TLC flash where speed is critical.
- QLC NVMe Flash: Cost-effective and high-density, QLC flash can store large datasets with minimal expense. QLC media, like Solidigm’s new 60TB+ QLC drives, is optimal for workloads with significant storage needs but lower performance requirements.
- HDDs: HDDs remain a cost-effective choice for archival storage and backup, as they offer high capacity without the expense of flash storage. UCI allows organizations to assign archival or backup data to HDDs, reducing costs and freeing up flash resources for more demanding tasks.
In a recent evaluation, StorageReview verified VergeOS’s multi-media support, showcasing its flexibility to handle diverse storage types within a single environment. Readers can watch our on-demand webinar, in which VergeIO, StorageReview, and Solidigm discuss the test results and how these media options enhance the platform’s performance. Click here to register for the on-demand session.
Scaling Storage and Compute Independently with Mixed Node Types
UCI supports mixed node types, enabling independent scaling of compute and storage resources. Traditional HCI solutions require identical nodes for expansion, which is inefficient for businesses with unequal compute and storage demands. For example, data-intensive applications may need more storage without extra compute, whereas HPC tasks might require more compute with less storage.
In UCI, storage-heavy nodes or compute-heavy nodes can be added independently within the same instance, enabling organizations to scale up only what they need. This flexibility offers significant advantages for specific workloads:
- Data Lakes and Analytics: Storage-heavy nodes provide the capacity required for large data lakes, while compute-heavy nodes and GPU-heavy nodes can seamlessly access the storage, creating a powerful path to analytics, machine learning (ML), and AI workloads—all supported by the media and node flexibility of Ultraconverged Infrastructure (UCI).
- Virtual Desktop Infrastructure (VDI): Compute-heavy nodes can handle the CPU resources needed for VDI. In contrast, fewer storage-heavy nodes are used for backend storage, ensuring cost-effective scaling without excess.
- Backup and Archival: Storage-heavy nodes offer the necessary space for long-term backup and archival data without requiring additional compute resources. When paired with GPU-heavy nodes, this configuration provides a high-capacity, cost-efficient foundation supporting AI-driven data analysis or data mining when needed.
This combination of mixed nodes enables organizations to flexibly support a wide range of workloads, from storage-intensive tasks to GPU-powered analytics and AI applications, all while optimizing resource use and reducing overprovisioning.
ioOptimize: Maximizing Efficiency in Mixed-Node and Mixed-Media Environments
In VergeIO’s UCI implementation, VergeFS boosts efficiency by allowing data to be placed across various media and optimizing computing and storage use. IT can allocate performance-critical data to TLC flash and assign archival data to QLC flash or HDDs. Additionally, IT can direct high-performance workloads to compute-heavy nodes, freeing storage-heavy nodes for data-intensive applications. This management prevents resource bottlenecks and maximizes ROI throughout the infrastructure.
The Advantages of UCI’s Flexibility in Media and Node Types
Combining mixed storage media and mixed node types allows UCI to deliver several essential benefits for modern data centers:
- Cost Efficiency: Organizations can optimize storage costs by matching storage media to workload requirements without compromising performance. High-density QLC and HDDs help reduce expenses, while high-performance TLC flash is allocated to applications that truly need it.
- Scalability: Mixed node types allow organizations to scale only the resources they need, adding storage or compute independently for greater scalability and control over infrastructure growth.
- Enhanced Flexibility: The media and node flexibility of Ultraconverged Infrastructure (UCI) allows businesses to fine-tune infrastructure according to specific workload requirements, reducing waste and maximizing resource utilization.
- Future-Proofing: UCI supports a broad range of storage and compute configurations, allowing businesses to adopt new storage technologies and accommodate changing needs over time, ensuring the infrastructure remains resilient and adaptable.
Conclusion: Ultraconverged Infrastructure for True Flexibility and Efficiency
Flexibility is essential in today’s complex IT landscape. Ultraconverged Infrastructure (UCI) provides media and node flexibility unmatched by traditional HCI, supporting high-performance TLC flash, high-capacity QLC flash, and cost-effective HDDs. UCI allows businesses to mix compute-heavy and storage-heavy nodes, scaling resources to meet real-world demands and reduce costs.
Solutions like ioOptimize enhance UCI’s effectiveness by optimally placing data and maximizing resource efficiency across mixed-node environments. By adopting UCI, businesses attain a future-ready infrastructure that scales flexibly, aligns with workload needs, and minimizes overprovisioning—ideal for organizations transitioning from VMware to a more adaptable, cost-effective platform.
