Storage that gets better over time — without forklift upgrades
The storage ownership model that should have always existed
End the refresh cycle
Traditional enterprise storage follows a predictable and painful pattern: buy an array, run it for 3–5 years, then rip it out and replace it with the next generation. Every refresh means downtime, data migration, re-qualification, and a new capital expenditure conversation.
Pure Evergreen eliminates this cycle. Controllers are upgraded non-disruptively — your data stays where it is, your applications never go offline, and your storage gets faster and denser over time through the subscription rather than through forklift replacements.
This isn't just a financial model change. It's an operational one. Your storage team stops managing refresh projects and starts managing capacity and performance.
- Non-disruptive controller upgrades — no downtime, no data migration
- Performance improves over time as new controllers are deployed
- Capacity added on demand without replacing the array
- Software updates and new features delivered continuously
- Predictable costs — no surprise capital requests every few years
Evergreen//Flex
Subscription with ownership. Combine the predictability of a subscription with the flexibility to add reserve capacity on demand. Non-disruptive upgrades included. Scale storage independently from compute without capital planning cycles.
Evergreen//Forever
CapEx ownership with non-disruptive upgrades. You own the hardware, and Pure upgrades the controllers in place as part of the support agreement. The traditional buy model, but without the forklift refresh.
Evergreen//One
Full storage-as-a-service. Consumption-based pricing with guaranteed SLAs for performance, capacity, and availability. Pure manages the infrastructure — you consume storage like a cloud service, on-prem.
What changes when you stop buying arrays and start subscribing to outcomes
| Traditional storage | Pure Evergreen | |
|---|---|---|
| Refresh cycle | Forklift replacement every 3–5 years with downtime and data migration | Non-disruptive controller upgrades — storage improves in place |
| Capacity planning | Buy for projected peak 3 years out and hope you sized correctly | Add capacity on demand as workloads grow — no over-provisioning |
| Budget model | Large CapEx spikes every refresh cycle, hard to predict | Predictable subscription — finance loves it, procurement plans for it |
| Performance over time | Degrades as array ages and approaches end of life | Improves as new controllers are deployed through the subscription |
| Software updates | Manual, often deferred due to risk and maintenance windows | Continuous, non-disruptive updates with new features included |
| Operational burden | Refresh projects consume engineering time for months | No refresh projects — team focuses on capacity and performance |
Pure Storage FlashArray — the performance foundation
FlashArray is the hardware platform that Evergreen runs on. All-flash, NVMe-native, with inline data reduction that typically delivers 5:1 efficiency. It's designed for the workloads where latency and throughput directly impact business performance.
Sub-millisecond latency
Consistent, predictable performance for latency-sensitive workloads. Databases, transactional applications, and real-time analytics that can't tolerate I/O variability.
5:1 average data reduction
Inline deduplication and compression that's always on with no performance penalty. A 50TB raw array typically delivers 250TB+ of effective capacity.
NVMe end-to-end
NVMe-native architecture from the host interface through the internal bus. No protocol translation bottlenecks — the entire I/O path is designed for flash.
Active-active controllers
Dual controllers operating simultaneously for both performance and resilience. No active-passive waste — both controllers serve I/O at all times.
Space-efficient snapshots
Near-instant, metadata-only snapshots that consume no additional capacity until data changes. Protect data without the storage tax of traditional snapshot approaches.
Built-in replication
Synchronous and asynchronous replication for DR and business continuity. Replicate to another FlashArray on-prem or to Pure Cloud Block Store in AWS.
The fabric between compute and storage matters
FlashArray performance is only as good as the network connecting it to your compute nodes. We design storage networking on Arista deep-buffer switches that protect high-throughput storage traffic and eliminate the need for a separate Fibre Channel SAN.
Ethernet-based storage protocols
Run NVMe-oF, iSCSI, or NFS on the same Ethernet fabric as your compute traffic. One unified network instead of separate LAN and SAN infrastructures — lower cost, simpler operations.
Arista deep-buffer switching
7280-class switches designed to handle the incast congestion patterns that throttle storage traffic on standard switches. Lossless Ethernet with proper buffer allocation for sustained high-throughput I/O.
Your storage operating model, extended to AWS
Pure Cloud Block Store runs the same Purity operating environment natively on AWS. Same data services, same management experience, same replication — in the cloud. No application refactoring required.
Pure Cloud Block Store
Run Pure storage in AWS with the same Purity//FA software you run on-prem. Replicate snapshots to the cloud for DR, spin up dev/test environments from production data, or burst storage capacity during peak demand.
- Same management experience on-prem and in AWS
- Replication from FlashArray to CBS for DR
- Dev/test from production snapshots in cloud
- Data mobility without application changes
Hybrid cloud with AIM
Within the AIM fabric, Pure Cloud Block Store works alongside Nutanix NC2 on AWS and AWS EVS to create a complete hybrid continuity model — compute, storage, and virtualization with parity across on-prem and cloud.
- Storage continuity via Pure CBS
- Compute continuity via NC2 on AWS
- VMware continuity via AWS EVS
- Aegis co-managed across all environments
Design your storage architecture with Evergreen in mind
We'll assess your current storage environment, capacity trajectory, and performance requirements — then design a Pure Storage architecture with the Evergreen model that fits your operational and financial goals.
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