Evergreen//One: The Full Power of Everpure, in Your Control

For years, enterprise storage planning has revolved around the same exhausting questions:

• What if we run out of capacity?
  
• What happens when performance needs spike?
  
• Did we overbuy—or worse, underbuy?
  
• How do we size snapshots, growth, or future initiatives we can’t predict?

Those questions have always been frustrating, but in the AI era, they’ve become existential. As AI projects move from pilot to production, infrastructure leaders are being asked to commit to capacity, performance, and architecture decisions today for workloads that may look completely different six months from now.

The good news? Everpure^® Evergreen//One^™ was built to make these questions largely irrelevant—or at least far less worrisome.

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At its core, Evergreen//One is about operating storage the way cloud was always supposed to work—without giving up control. Or as one Everpure leader put it: “The goal is to make storage something you almost forget you own.”

Storage That Operates Like a Private Cloud

One of the simplest ways to understand Evergreen//One is this:

It makes your on-prem storage behave like your own private storage cloud.

This mirrors a broader shift: Cloud is no longer about where infrastructure runs—it’s about how easily it adapts. Evergreen//One applies that same operating model to on-prem storage, without surrendering control or visibility.

The infrastructure lives in the data center (or hosting location) you choose. Your team retains full administrative control. Nothing is hidden, outsourced, or abstracted away.

What is abstracted away is the operational friction.

Non-disruptive upgrades (NDUs) are the norm. Capacity planning? Greatly simplified. Performance headroom? Built in by design.

You focus on your data. Everpure handles the supply problem.

You Pay for Data—Not Guesswork

A terabyte is a terabyte.

That sounds obvious, but in traditional storage models, it rarely holds true. Data reduction ratios, snapshot growth, and performance buffers all complicate the math.

Evergreen//One removes that complexity by anchoring everything to a single metric: effective data. Effective data is the amount of data you actually put on the system. It doesn’t matter how much raw capacity that data consumes. It doesn’t matter how much data reduction Everpure achieves. That’s our problem—not yours, and this matters even more in the age of generative and agentic AI. AI teams routinely face non-linear data growth driven by unstructured data, iterative training, and inference feedback loops. Evergreen//One absorbs that volatility by decoupling what customers pay for from how infrastructure actually scales underneath.

Billing, sizing, and measurement are all based on effective data only. That’s the number that matters.

Built-in Buffer Capacity (and Public SLAs)

Evergreen//One includes a public set of guarantees and SLAs, one of the most important being buffer capacity.

Everpure intentionally deploys more capacity than you’re consuming at any given time. Why?

Because if you want storage to feel virtually unlimited, you never let customers reach the edge. Infrastructure leaders repeatedly cite capacity shortfalls—not lack of ideas—as the reason AI projects stall. The buffer model of Evergreen//One flips that risk: Instead of reacting to growth after it becomes a problem, capacity and performance headroom are provisioned ahead of need.

Behind the scenes, Everpure continuously projects utilization trends and growth rates, then deploys additional infrastructure ahead of need. There’s also a stringent 28-day guarantee to deploy new infrastructure when required.

The result:

• No emergency purchases
  
• No frantic migrations
  
• No performance cliffs

Performance guarantees apply across features, because infrastructure is provisioned with sufficient headroom from the start.

As AI infrastructure scales, power and cooling quickly become the real bottlenecks. Purpose-built platforms like FlashBlade//EXA^™ dramatically reduce those constraints by cutting power and cooling requirements, which directly translates into more usable AI capacity without expanding the data center footprint.

What Happens When Requirements Change?

Here’s a common curveball:

I’m subscribed with FlashArray, but now we’re launching an AI initiative.

In a traditional model, this would trigger a new buying cycle, a new sizing exercise, and probably a lot of guesswork.

With Evergreen//One, the subscription simply evolves.

• The subscription can be extended to cover new workloads.
  
• Additional performance guarantees can be applied to specific projects (like AI or analytics).
  
• Capacity and performance expectations are adjusted as needs change.

The guiding philosophy is simple:

Don’t try to predict where you’ll be in three years. Focus on the data you’re using today.

Evergreen//One keeps morphing alongside the business—without forcing customers into rigid forecasts or long-term bets that may not hold.

What Evergreen//One Is and Isn’t

Let’s clear up a common misconception.

Evergreen//One isn’t:

• An outsourcing service (you retain control, and you are the hero)
  
• A black box (you always know what’s going on and why)
  
• A managed service that displaces your storage team (again, Evergreen//One makes you the hero)

Your admins retain full visibility, access, and control. You decide when upgrades happen. You choose software versions. Nothing is hidden away. Governance works best when it’s embedded in infrastructure—not layered on after the fact. Evergreen//One preserves transparency and control while still removing operational friction.

Evergreen//One is:

• Block, file, and object storage services
  
• Delivered on equipment owned by Everpure
  
• Deployed to customer-chosen locations
  
• Backed by clear SLAs
  
• Designed for non-disruptive scaling

Hardware, Performance, and Overprovisioning (on Purpose)

Another key difference with Evergreen//One: Everpure often deploys more powerful hardware than customers would otherwise purchase outright—and we do so at our own expense.

Why?

Because predictable performance matters more than perfectly optimized specs.

You still only pay for the data you use. Meanwhile:

• Hardware upgrades are non-disruptive.
  
• You don’t pay for new controllers.
  
• You don’t pay for upgrade labor.
  
• Software upgrades remain fully under your control.

Everpure absorbs the cost and risk of non-disruptive changes, while making recommendations based on real-world usage.

Each Evergreen//One instance can be thought of as a small, purpose-built cloud, potentially spanning multiple arrays—all coordinated through Pure Fusion^™.

Cyber Recovery SLA: When the Worst Happens

As AI adoption accelerates, so does shadow AI—models, data sets, and pipelines spun up outside sanctioned environments. Evergreen//One brings encryption, access controls, and visibility across every AI workload, so teams aren’t left discovering risk after it’s already become their problem.

Evergreen//One also offers a Cyber Recovery SLA add-on designed for events that render primary storage unusable—ransomware, natural disasters, or even physical damage.

If that happens:

• Everpure ships replacement arrays next business day*.
  
• Engineering resources assist recovery.
  
• You restore from your last known SafeMode^™ Snapshot.
  
• Once recovered, the temporary infrastructure is removed, and inventory is normalized.

This minimizes disruption without requiring customers to pre-purchase and maintain a secondary array.

In real-world cases, this coverage has applied not just to cyber incidents, but to physical disasters like water damage.

Everpure is even engaging insurance underwriters to explore reduced premiums for customers covered under this SLA, since risk exposure is materially lower.

Snapshot Predictability—Finally

Snapshots are notoriously hard to size. Everyone uses rules of thumb, and everyone worries about getting it wrong.

Evergreen//One removes that risk.

With the snapshot add-on:

• Snapshot capacity is never measured.
  
• Up to 14 days of snapshots are included.
  
• Snapshot growth risk is fully absorbed by Everpure.

You never have to think about snapshot space again.

As with everything else in Evergreen//One, the goal is predictability: operationally, financially, and technically.

The Core Idea: Just Think about the Data

If there’s one idea that ties everything together, it’s this:

The customer only pays for the data.

Capacity buffers, performance headroom, hardware refreshes, snapshots, cyber recovery—it all exists to remove guesswork and let teams focus on moving data where it needs to go.

That’s what ultimate flexibility looks like.

And it’s why Evergreen//One enables frontline teams to look like heroes—doing far more than the usual lever-pulling that storage management has traditionally required. 

AI success isn’t just about models or GPUs—it’s about whether infrastructure teams can operate AI at scale without constant firefighting. A unified data platform for AI, wrapped in a cloud-like operating model such as Evergreen//One, is what turns AI ambition into something teams can actually sustain.

*Shipment schedule: Next business day shipping of arrays to North America and EMEA. Three business days to Asia and Australia/New Zealand. Expedited shipping may be available depending on region.