DRAM prices have risen over 100% in a single quarter. SSDs are not far behind. For storage teams eyeing a Ceph rollout, the timing couldn’t be worse — and the math may now favour a different approach entirely.
For years, Ceph has been the go-to answer for organisations that want scalable, open-source storage without the hefty price tag of a commercial array. The pitch is simple: commodity hardware, no vendor lock-in, full control. It’s compelling — until commodity hardware stops being cheap.
That’s exactly where we find ourselves in 2026. A structural shift in the global memory market, driven by insatiable AI infrastructure demand, has sent DRAM and NAND flash prices into territory not seen in a decade. For teams planning a Ceph deployment, the economic assumptions underpinning that decision deserve a serious re-examination.
How bad is it, really?
The numbers are stark. Memory manufacturers — Samsung, SK Hynix, and Micron — have fundamentally reallocated their production capacity toward high-bandwidth memory for AI accelerators. That’s a zero-sum game: every wafer committed to HBM stacks for GPU clusters is a wafer denied to the DDR5 modules and enterprise SSDs that fill storage server racks.
| ~105% | ~60% | 2028 |
| PC DRAM contract price increase, Q1 2026 (TrendForce) | Enterprise SSD price increase, Q1 2026 | Earliest meaningful supply relief expected |
These aren’t blips. TrendForce forecasts a further 58–63% rise in DRAM and up to 75% in NAND flash for Q2 2026, as AI server orders show no sign of softening. Gartner puts the combined DRAM and SSD price surge at 130% by year-end. The shortage is structural, not cyclical, and no rapid fix is in sight.
Why Ceph feels this particularly hard
Ceph’s architecture is memory-hungry by design. Each OSD process requires 1–2 GB of RAM as a baseline, and BlueStore’s block cache adds significant overhead on top of that. Across a modestly-sized cluster of 30–40 nodes, you’re looking at hundreds of gigabytes of DRAM just for the storage layer — before you touch compute or networking. At current prices, that’s a materially different number than it was 18 months ago.
The SSD exposure is equally significant. Even in HDD-heavy deployments, BlueStore uses NVMe or SATA SSDs for WAL and RocksDB metadata journals on every OSD. All-flash Ceph clusters — increasingly common for latency-sensitive workloads — face the full force of NAND price inflation across every node.
“The cost structure for a Ceph cluster hasn’t just increased — it has been fundamentally repriced across every component category simultaneously.”
The compounding effect is the real problem. Because Ceph is a distributed system deployed at scale, per-unit cost increases multiply across dozens of nodes. A 100% DRAM increase on a single server is painful; across a 40-node cluster, it can blow a project budget entirely.
So does commercial enterprise storage look better now?
This is where the calculus gets interesting. Platforms like the Everpure FlashArray are not immune to the same supply chain pressures — they’re built on the same flash media and similar DRAM substrates. The hardware economics affect everyone buying silicon in 2026.
But the financial model of enterprise storage is fundamentally different from a self-built Ceph cluster, and that difference matters more than usual right now.
When you deploy Ceph, you’re buying hardware at today’s spot prices, absorbing full market risk on every component, and then carrying that capital expenditure on the books. You’re also responsible for all ongoing operational overhead: tuning, capacity planning, hardware refresh cycles, and the engineering time to keep a distributed storage system healthy. None of that overhead disappears when component prices spike — it only becomes harder to justify.
Enterprise array vendors, by contrast, have long-term supply agreements, larger purchasing volumes, and established relationships with memory manufacturers that give them meaningful insulation from quarter-to-quarter price volatility. They’ve already priced their hardware into multi-year contracts. You haven’t.
The subscription angle: Evergreen//One changes the equation
Everpure’s Evergreen//One offering addresses the supply chain problem from a different angle entirely. Rather than buying hardware outright at today’s elevated prices, Evergreen//One is a consumption-based storage-as-a-service subscription — you pay a flat rate per TiB for the storage you actually use, and Everpure handles everything else: hardware, upgrades, maintenance, and capacity management.
What Evergreen//One includes: Consumption-based pricing (pay only for what you use), guaranteed SLAs covering performance and availability, 15-minute support response times, continuous non-disruptive hardware upgrades, and access to Pure1 AIOps for unified management — all under a single subscription with no forklift upgrade cycles.
The critical financial advantage in the current environment is this: your subscription rate is locked at signing. When NAND prices surge another 75% next quarter, that’s Everpure’s problem to manage, not yours. There’s no exposure to spot memory markets, no rebuy cycle when components hit end-of-life, and no capital outlay at the worst possible moment in a decade for buying flash storage.
For organisations that need to preserve cash and maintain budget predictability — which describes most IT departments in 2026 — converting a large, uncertain capital expenditure into a predictable operational expense is genuinely valuable, independent of the memory crisis. The memory crisis just makes the argument considerably more urgent.
What about Ceph’s protocol flexibility advantage?
One of Ceph’s historically strongest arguments has been its native support for block (RBD), file (CephFS), and object (S3-compatible RADOS Gateway) storage — all from a single cluster. It was a genuine differentiator that gave it an edge over commercial arrays that traditionally excelled at one protocol but offered bolt-on support for others.
That argument has largely evaporated. At its Pure//Accelerate event in June 2025, Everpure announced the addition of object storage to FlashArray, completing a fully unified backend across block, file, and object — all running natively within Purity OS on a single shared storage pool – this is now officially released in Purity//FA 6.10.5. This isn’t a bolt-on or a software gateway layered on top of the existing architecture; file services run as a first-class citizen alongside block in Purity, with object completing the triad. Every protocol benefits from the same global deduplication, inline compression, non-disruptive upgrades, and Evergreen architecture.
The practical implication is significant: the unified protocol case for Ceph — which was real and meaningful for several years — no longer holds in the same way when evaluated against a current FlashArray deployment. Organisations consolidating NFS file shares, S3-compatible object workloads, and block storage for databases or VMs can now do so on a single FlashArray platform, managed through a single API, without the operational complexity of a distributed Ceph cluster.
The honest trade-offs
This isn’t a straightforward win for commercial storage in every scenario. Everpure FlashArray is a premium product with a premium price — even on subscription, the per-TiB rate is higher than the theoretical cost of self-built Ceph at pre-crisis hardware prices. Organisations with very large, relatively static storage footprints and strong in-house storage engineering capability may still find the TCO math favours Ceph, even with elevated hardware costs.
The OpenStack integration argument also deserves a closer look. Ceph undeniably dominates here in aggregate — according to the OpenInfra Foundation’s user survey, the Ceph RBD driver is used in over 50% of OpenStack deployments, making it the most widely deployed Cinder backend overall. But among commercial, vendor-supported block storage backends, FlashArray is consistently one of the most deployed, a position backed by the same OpenInfra survey data. The Everpure FlashArray Cinder driver supports iSCSI, Fibre Channel, NVMe-RoCE, and NVMe-TCP, covering the full range of enterprise dataplane options. It also introduced three-site trisync replication to Cinder before any other vendor. With Purity now delivering native file services in the unified data plane, a FlashArray Manila driver for shared file system workloads is coming — which will complete the OpenStack integration story across both Cinder and Manila, directly mirroring the coverage Ceph provides today through RBD and CephFS.
Ceph retains meaningful advantages in specific contexts: it runs on any commodity hardware you choose, integrates deeply with OpenStack, and scales to truly massive capacities across geographically distributed nodes in ways that a single-site array cannot. For hyperscale-adjacent use cases or organisations with specific open-source infrastructure mandates, those factors remain relevant.
But for the majority of organisations — those without dedicated storage engineering teams, those running latency-sensitive production workloads, or those trying to avoid a large capital commitment right now — the combination of elevated hardware costs, significant operational overhead, and an uncertain two-year supply outlook makes Ceph a harder sell than it was even a year ago.
The bottom line
The memory crisis hasn’t made Ceph a bad choice. It has made it a more expensive and more uncertain choice, at precisely the moment when a consumption-based, subscription-funded alternative offers unusual financial shelter.
If you’re mid-planning on a Ceph deployment, it’s worth running the numbers again — not just on hardware CAPEX, but on full operational costs, the risk of further price increases during a multi-month procurement cycle, and the opportunity cost of tying up engineering capacity in infrastructure management. The answer may still be Ceph. But the answer deserves a fresh look.
And if you haven’t modelled Evergreen//One as an alternative, now is a reasonable time to do it. Everpure offers a cost estimation calculator, and the current market conditions give that conversation a sharper edge than it might have had 18 months ago.
Price forecasts sourced from TrendForce Q1–Q2 2026 memory market reports and Gartner February 2026 analysis. Everpure product information sourced from Everpure.com. This post represents independent analysis and is not sponsored by Everpure or any storage vendor.
