| Form Factor | 1U height, AC power |
| Storage Enclosure | NVMe control enclosure with up to 12x NVMe FlashCore Module 4 (FCM4), SSD, or SCM |
| FlashCore Module Capacities Supported | 4.8, 9.6, 19.2, and 38.4TB |
| Data Reduction | Inline compression with FlashCore Modules (FCM) |
| Processor | 12-core Intel Ice Lake CPUs with QuickAssist Technology (QAT) |
| Cache | Up to 512GB |
| Network Ports | 4x 25/10GbE flexible onboard ports with optional configurations: SFP28, SFP+, RJ45 |
| Maximum Host Ports | 16x 32Gb FC / 10GbE or 8x 64Gb FC |
| Volumes | Supports up to 8,192 volumes |
| Snapshots | Up to 15,863 snapshots |
| Snapshot Capacity | 10 PiB |
| Security Features | Inline threat detection with real-time data monitoring (RTD), Encryption, and Secure Boot |
| Advanced Snapshot Management | Volume Group Snapshots, Safeguarded Copy, Internal Scheduler |
| Availability Features | HyperSwap, Predictive Block Allocation (PBHA) |
| Data Protection | PBR (Protected Block Recovery) |
| Cloud Integration | Storage Insights Integration |
| Virtualization Support | Embedded VASA Provider, VMware vVols replication |
| Connectivity | NVMe over Fibre Channel (FC) or TCP |
| Other Technologies | Transparent Cloud Tiering (TCT) |
Interface and Management
The IBM FlashSystem 5300 integrates AI-powered management through IBM Storage Insights, a cloud-based tool that provides advanced monitoring, analytics, and predictive maintenance to optimize storage operations. By leveraging AI, Storage Insights helps businesses monitor performance, detect potential issues early, and predict future capacity needs based on historical usage trends. This reduces manual intervention and ensures that systems remain healthy and secure. Additionally, the FlashSystem 5300’s user-friendly GUI simplifies day-to-day management tasks, allowing administrators to easily configure and monitor the system without requiring extensive storage expertise.
The 5300’s Web management UI has a thoughtful design and user-centric functionality. Upon first login, administrators are greeted with a sleek, minimal interface. The dashboard presents a clear, at-a-glance overview of the system’s health, capacity utilization, and performance metrics, allowing IT professionals to quickly assess the array’s status. Navigating the various sections is intuitive, with a logical menu structure, making management tasks straightforward.
Thanks to well-designed wizards and form layouts, users can add hosts, configure storage pools, and manage volumes through streamlined processes that can be completed in just a few clicks. Performance monitoring is easy, with real-time graphs and charts displaying crucial metrics like IOPS, latency, and throughput. The interface’s responsiveness ensures that even complex operations like setting up replication feel swift and effortless. This combination of feature-rich functionality and ease of use significantly reduces the learning curve for new administrators while providing the depth and control that experienced professionals demand.
IBM Storage FlashSystem 5300 Performance
Test Setup:
IBM FlashSystem 5300
- 12 x 9.6TB SSDs
- 128GB Cache
Dell PowerEdge R760
- 2 x Intel Xeon 8592+ CPUs
- 24 x 64GB DDR5 RAM
- 4 x Dual-Port Emulex 32Gb FC HBA
- Windows Server 2022
When testing the IBM FlashSystem 5300, we leveraged a direct-connected approach with a single client-server. On the client, we installed four dual-port 32Gb Emulex HBAs and connected each port directly to the storage array for peak performance. The test layout for the storage used a DRAID6 (Distributed RAID6) scheme with a standard pool, which we then carved out eight 1TB volumes.
Sequential Performance: The 5300 demonstrates impressive sequential read performance, peaking at 25.2 GB/s for 128K blocks. Sequential write performance, while lower, remains competitive at 9.1 GB/s for 128K blocks.
| Workload Name | Bandwidth | Throughput (IOPs) | Avg. Latency (usec) |
| Sequential Read 8k | 10.3 GB/s | 1253k | 403.52 |
| Sequential Write 8k | 4.3 GB/s | 531k | 961.79 |
| Sequential Read 128k | 25.2 GB/s | 193k | 2657.67 |
| Sequential Write 128k | 9.1 GB/s | 69k | 7355.97 |
| Sequential Read 1M | 23.1 GB/s | 22k | 5814.76 |
| Sequential Write 1M | 7.6 GB/s | 7276 | 17583.99 |
Random Performance: In random access scenarios, the system’s in-cache performance is notably robust, reaching 547K IOPS for 4K random reads.
| Workload Name | Bandwidth | Throughput (IOPs) | Avg. Latency (usec) |
| Random Read 4k (Q32) | 2.5 GB/s | 632k | 1617.63 |
| Random Write 4k (Q32) | 556 MB/s | 136k | 3770.79 |
| Random Read 4k (Q16) | 1.8 GB/s | 459k | 554.85 |
| Random Write 4k (Q16) | 558 MB/s | 136k | 1878.07 |
| Random Read 4k (Q16) within Cache |
2.2 GB/s | 547k | 464.67 |
| Random Write 4k (Q16) within Cache |
1 GB/s | 267k | 956 |
| Random Read 8k | 4.8 GB/s | 598k | 854.33 |
| Random Write 8k | 1.1 GB/s | 135k | 3787.94 |
Mixed Workloads: For mixed read/write scenarios, performance scales well as the read percentage increases, with the 90/10 read/write mix for 8K blocks achieving 442K IOPS and 3.6 GB/s bandwidth.
| Workload Name | Bandwidth | Throughput (IOPs) | Avg. Latency (usec) |
| Random 4k (70/30 Mixed) |
1.3 GB/s | 339k | 3023.26 |
| Random 8k (70/30 Mixed) |
2.5 GB/s | 317k | 1612.11 |
| Random 4k (80/20 Mixed) |
1.6 GB/s | 396k | 2587.28 |
| Random 8k (80/20 Mixed) |
3 GB/s | 370k | 1379.77 |
| Random 4k (90/10 Mixed) |
1.9 GB/s | 478k | 2134.92 |
| Random 8k (90/10 Mixed) |
3.6 GB/s | 442k | 1155.32 |
Transparent Pricing
It is not exactly a feature, but one standout decision IBM has made is publicly listing pricing for the FlashSystem 5300, a relatively uncommon practice in the enterprise storage industry. Most vendors require customers to go through lengthy sales processes or negotiations to obtain pricing information, but IBM takes a more transparent approach with the 5300. By providing straightforward, upfront pricing, IBM helps organizations make more informed decisions about their storage investments without opaque pricing structures’ typical delays or uncertainties.
Conclusion
Sandy Yang/Global Strategy Director
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Email: yangyd@qianxingdata.com
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