Match your Workload to the Solution

Credit: Supermicro

Matching your workload to the Software-Defined Storage (SDS) solution is a crucial step and ensures the best alignment with your workload's performance, scalability and realiability needs. Let's take a look at which solutions you should consider and the typical problems to solve with each.

Software-Defined Storage Partners

When it comes to software-defined storage (SDS) and the role of the Supermicro Management Console (SMC), there are a number of important software-partners to know about. Here’s a breakdown of what they bring to the table and how they integrate with Supermicro hardware & SMC.

Parallel File Storage System

Unleashes the NVMe Performance NVMe-oF (IB and RoCE)

Clustered File System

Manage the full data cycle on a single platform

Unified Data Platform

With Data Intelligence for End-to-End AI workload

Fastest File System

Maximize Your NFS Utilisation NVMe-oF (IB and RoCE)

Scale-Out Cloud/GPU Direct Object Storage

With Optimized for Best Capacity and TCO

Enterprise Ceph and high-performance clustered file system

Unified platform for AI workload

High-performance Scale-out Parallel File System

Ease of use with high availability

Distributed File System

Manage the full data cycle on a single platform

Scalable S3 object storage

Flexible scale-out file and object storage for unbreakable cloud data centers

Unified Storage Platform

High performance, distributed object storage system

Block storage with NVMe RAID

With Optimized data protection and TCO

NVMe RAID block storage

High-performance RAID solution for the new generation of storage

Distributed Block Storage

Maximize Your NVMe Utilization (NVMe over TCP/IP)

Unified Storage Platform

Simplified scale-up and scale-out SDS solution for file, block and object

Virtualization and Storage (HCI)

Simplified and flexible VMware and Nutanix replacement

Why the partnerships matter

When Supermicro certifies a software partner's SDS on its hardware, it means you get a pre-tested, validated stack, which means less risk of interoperability problems. You can choose the SDS software that best fits your workload (object, block, file, hybrid), and pair it with Supermicro’s hardware building blocks. Many of these solutions are built for large scale — e.g., petabyte-scale object storage, scale-out clusters, multi-site deployments. When it comes to support and ecosystem, because the software and hardware are pre-integrated, you typically get better support from both sides and faster time-to-deploy.

Enterprise Workloads

When selecting a software-defined storage (SDS) solution for enterprise use, the most important thing is balancing performance, resilience, and operational simplicity — making sure your storage platform can handle mission-critical workloads reliably and efficiently at scale.

• Performance (Aligned with Network)
• Appliance-lik hardware high availability
• Hot-swap serviceability (customer service/support)
• Open standards manageability (Supporting distributed heterogeneous IT organizations)

Block storage with NVMe RAID

With Optimized data protection and TCO

NVMe RAID block storage

High-performance RAID solution for the new generation of storage

Distributed Block Storage

Maximize Your NVMe Utilization (NVMe over TCP/IP)

Unified Storage Platform

Simplified scale-up and scale-out SDS solution for file, block and object

Virtualization and Storage (HCI)

Simplified and flexible VMware and Nutanix replacement

Cloud Service Provider

When pairing CSPs to SDS Solutions the goal is to deliver scalable, multi-tenant, high-availability storage services to many customers efficiently, while keeping performance predictable and costs low.

• Performance (SLA requirements)
• Software defined high availability
• Scalability with economy of scale
• Open standards manageability (For proprietary customization)

Distributed Block Storage

Maximize Your NVMe Utilization (NVMe over TCP/IP)

Unified Storage Platform

High performance, distributed object storage system

Scalable S3 object storage

Flexible scale-out file and object storage for unbreakable cloud data centers

AI Data Pipeline

For AI workloads your goal is to feed large, complex datasets to AI training, inference, and analytics workloads — fast, reliably, and at scale. AI data pipelines are data-intensive, parallel, and performance-sensitive. So your SDS must keep data moving seamlessly from ingestion to training to deployment.
Think sustained performance, not just peak numbers. You want to keep feeding the GPUs with data and never wait on storage.

• Monolithic performance scaling (training)
• High availability (inference)
• Grid-like serviceability
• Open standards manageability

Clustered File System

Manage the full data cycle on a single platform

Parallel File Storage System

Unleashes the NVMe Performance NVMe-oF (IB and RoCE)

Unified Data Platform

With Data Intelligence for End-to-End AI workload

Fastest File System

Maximize Your NFS Utilisation NVMe-oF (IB and RoCE)

Scale-Out Cloud/GPU Direct Object Storage

With Optimized for Best Capacity and TCO