HPE Nimble Storage: Models, Specifications, and Technical Details
Updated: Mar 5, 2025
While HPE Nimble Storage isn't as popular as HPE MSA or 3PAR, many businesses still rely on it for their storage needs. With AI-driven predictive analytics and high availability, it is widely used by businesses that need efficient, scalable, and easy-to-manage storage solutions.
HPE Nimble Storage & Storage Parts: Save up to 80%
Understanding the key specifications, performance differences, and scalability options of Nimble Storage is essential for making an informed decision.
HPE Nimble Storage Models & Comparison
HPE Nimble Storage is divided into two primary categories:
✅ All-Flash Arrays (AF-Series) – Built for ultra-low latency and high-speed workloads with SSD storage.
✅ Adaptive Flash Arrays (HF-Series) – A hybrid solution that combines SSDs and HDDs for a balance of performance and cost.
Each series offers different models tailored to varying performance and scalability needs.
HPE Nimble Storage All-Flash (AF-Series)
The AF-Series is designed for organizations that need lightning-fast performance, leveraging 100% SSD storage to deliver ultra-low latency and high throughput.
AF-Series Models & Technical Specs
Model | Effective Capacity* | Raw Capacity | Max Scalability | Memory |
AF20Q | 128 TB | 46 TB | 2 expansion shelves | 128 GB |
AF20 | 168 TB | 46 TB | 2 expansion shelves | 128 GB |
AF40 | 682 TB | 184 TB | 4 expansion shelves | 256 GB |
AF60 | 2,037 TB | 553 TB | 6 expansion shelves | 512 GB |
AF80 | 4,075 TB | 1,106 TB | 6 expansion shelves | 1 TB |
📌 Effective capacity varies based on compression, deduplication, and workload characteristics.
Key Benefits of AF-Series
✔️ Fast performance – Ideal for databases, VMs, and analytics.
✔️ Scalable design – Seamless expansion with extra storage shelves.
✔️ AI-driven optimization – HPE InfoSight prevents bottlenecks before they happen.
✔️ Multi-protocol support – Compatible with iSCSI, Fibre Channel, and NVMe.
HPE Nimble Storage Adaptive Flash (HF-Series)
The HF-Series (formerly CS-Series) is a hybrid storage solution designed for organizations that need a mix of performance and affordability.
HF-Series Models & Technical Specs
Model | Effective Capacity* | Raw Capacity | Max Scalability | Memory | SSD Cache |
HF20 | 168 TB | 46 TB | 2 expansion shelves | 128 GB | 1.6 TB |
HF40 | 682 TB | 184 TB | 4 expansion shelves | 256 GB | 3.2 TB |
HF60 | 2,037 TB | 553 TB | 6 expansion shelves | 512 GB | 6.4 TB |
HF80 | 4,075 TB | 1,106 TB | 6 expansion shelves | 1 TB | 12.8 TB |
📌 Effective capacity varies based on compression, deduplication, and workload characteristics.
Why Choose the HF-Series?
✔️ Best of both worlds – Performance of SSDs + cost efficiency of HDDs.
✔️ AI-powered automation – HPE InfoSight reduces downtime.
✔️ Enterprise reliability – 99.9999% guaranteed uptime.
✔️ Flexible storage scaling – Expand up to 6 additional shelves.
AF-Series vs. HF-Series: Key Differences
Feature | AF-Series (All-Flash) | HF-Series (Hybrid Flash) |
Storage Type | 100% SSDs (NVMe & SATA) | Mix of SSDs and HDDs |
Performance | Ultra-fast, low latency | Balanced speed and affordability |
Best Use Case | High-performance apps like DBs, VMs, AI workloads | General-purpose workloads, backups, file storage |
Expansion | Up to 6 expansion shelves | Up to 6 expansion shelves |
AI-driven Insights | ✅ Yes | ✅ Yes |
Cost | Higher (premium performance) | Lower (cost-effective |
HPE Nimble Storage & Storage Parts: Save up to 80%
The AF20Q's 128 TB effective versus 46 TB raw shows how much deduplication changes the math. I'd pair a plain ai prompt generator with InfoSight notes to sanity-check sizing assumptions.
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Здравствуйте! Спасибо за подробный обзор HPE Nimble Storage — было интересно ознакомиться с характеристиками и техническими возможностями разных моделей. Особенно понравилось, что материал написан простым и понятным языком: такой же структурированный подход ценится и в других тематиках, где пользователи ищут информацию по запросам вроде лучшие казино или другим популярным категориям. Благодарю за качественную статью и желаю дальнейших интересных публикаций!
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