Every GPU contract leaves a storage revenue line on the hyperscaler's invoice. Attaching flat-rate, zero-egress storage moves that revenue onto your platform, ties the tenant's data to your infrastructure, and raises the switching cost from a compute renegotiation to a full data migration, with no storage team required.
What is NeoCloud object storage?
NeoCloud object storage is persistent S3-compatible storage layer deployed alongside GPU compute, enabling operators to capture storage revenue that currently flows to hyperscalers. Akave Cloud delivers this at $14.99/TB flat-rate with zero egress fees.
A 100-GPU tenant on your platform pays roughly $23/TB per month for the storage that feeds those GPUs, plus $0.09 per GB in egress on every read, and none of it lands on your invoice. At 500 TB that is $11,500 per month in storage alone, before a single egress byte is counted. The training data, the model checkpoints, the inference logs all sit in a hyperscaler bucket. You provisioned the GPUs. Someone else provisioned the storage, and collects the revenue for it every month.
That storage spend is a revenue line you are not capturing, and a dependency you are not closing. Every read your tenant sends back to a hyperscaler bucket ties them to a provider they are trying to leave, and it scales with the workload itself. It is one of the few recurring bills your tenants pay that has nothing to do with you. Closing that gap is the difference between being a GPU commodity and being the provider that owns the customer relationship.
Why does NeoCloud storage revenue stay on the hyperscaler's invoice?
Follow the data path of a single training run. The dataset lives in object storage. The GPU cluster reads it, repeatedly, across epochs. Checkpoints get written back. Inference logs stream out. Every one of those reads, on a standard hyperscaler bucket, carries an egress charge: $0.09 per GB on AWS S3, up to $0.12 per GB on GCP. The storage itself runs around $23/TB per month on AWS S3 Standard before a single byte moves.
None of that is on your invoice. You provisioned the GPUs. Your tenant went to a hyperscaler for the bucket, because that is the default, and because you did not offer an alternative. So the storage margin, the egress margin, and the customer's storage relationship all sit with a company that competes with you for the rest of that account.
The number matters because it recurs. Compute contracts get renegotiated. Storage spend compounds quietly every month the data sits there and every time the GPUs read it. You are watching a predictable, workload-linked revenue stream flow to a competitor, and it is flowing off the back of infrastructure you built.
The tiering gap: why hyperscalers have a cost lever you don't
There is a structural reason tenants default back to the hyperscaler. Hyperscalers run flash and HDD in the same data plane, with intelligent tiering moving data between them. Hot data sits on fast media. Cold data drops to cheap media. The customer gets one endpoint and a cost curve that bends with usage.
Most NeoClouds built all-flash during the GPU expansion phase. That was the right call for the workload in front of you. It also left you with no tiering, which means no cost-control lever. Every gigabyte sits on your most expensive media whether it is being read a thousand times an hour or once a quarter.
That sequence is now being punished by the market. TrendForce reported enterprise SSD contract prices surged 53–58% quarter-over-quarter in Q1 2026, a record, with NAND Flash prices projected to climb a further 70–75% in Q2 2026, hitting operators who built all-flash at the worst possible moment. All-flash with no tier to fall back on is the most exposed position to hold when the underlying hardware gets more expensive. The market has already moved: operators are partnering with storage providers to close the gap. This is a problem now, not a later one.
The lesson is not "buy more flash." It is that serving your tenants the same storage tiers a hyperscaler offers is a prerequisite for competing on the full workload, not an optional add-on. Without it you can only ever sell the compute half of the deal.
Why bundling storage with compute changes the economics of every deal
Now put object storage back on your invoice. Three things change at once.
- Contract value goes up.
- Tenant stickiness goes up.
- The incremental sales cost is close to zero.
This is why the operators that capture storage revenue become higher-value, stickier businesses, and the ones that don't stay GPU commodities competing on price alone. It is a business-model question before it is a feature question.
Zero egress as the commercial weapon for NeoCloud operators
Here is where the hyperscaler's own pricing becomes your selling point. Their egress charge, the fee your tenant pays on every read back to their bucket, is the friction. You can price directly against it.
Akave's hot tier is $14.99/TB flat-rate, zero egress. Reads do not carry a per-gigabyte fee at all. For a GPU workload that reads its dataset thousands of times across a training run, that is the single largest line item on a hyperscaler bill removed entirely. Set that next to roughly $23/TB on AWS S3 Standard, plus $0.09 per GB of egress on AWS (up to $0.12 per GB on GCP), and the comparison your tenant runs lands on your side.
You are no longer explaining away a storage cost. You are the reason the storage cost went down. Flat-rate, zero-egress storage bundled into the GPU contract turns the hyperscaler's egress tax into a competitive line in your pitch. The economics of AI workloads reward reading data repeatedly; a pricing model that charges for every read fights the workload, and one that doesn't wins it. We wrote about why that egress tax quietly wrecks AI unit economics in The Egress Fee Trap.
Agentic workloads push this further. Autonomous agents read from storage constantly, looping over datasets, retrieving context, and writing state back without a human triggering each call. On egress-metered storage, every one of those actions carries a per-gigabyte charge, so the bill scales with agent activity in a way that is hard to forecast and impossible to cap. Flat-rate, zero-egress storage removes that tax for agent-driven pipelines the same way it does for training runs, the read volume can climb without the storage bill following it, and you get an auditable record of what those agents actually read.
What is the white-label storage option for NeoCloud operators?
The obvious objection: none of this is worth it if it means hiring a storage team and running storage nodes while you are already stretched building out GPU capacity. It doesn't.
Akave Cloud includes a white-label deployment option built for exactly this. Your tenants see your brand, your pricing, your domain, your customer relationship. Under it, Akave runs the infrastructure. The model gives you custom SSL certificates, a DNS reroute so the endpoint lives on your domain, and isolated endpoints per tenant. It is ideal for sovereign industries where data residency and separation are contractual requirements, including EU-resident zones (eu-west-1) for GDPR-scoped workloads. Akave manages it for you. You do not staff a storage engineering team or operate storage nodes.
For your tenants, the migration is not a rearchitecture. The storage is S3-compatible, a drop-in replacement, so existing pipelines point at a new endpoint and keep working. The data path they already built does not change. Only the bill and the branding do.
Two commercial models sit underneath, and the distinction matters when you plan the offer. Akave Cloud is the standard SaaS tier with flat-rate, zero-egress pricing, fully managed and instant to onboard. Akave's white-label tier sits on top, with bespoke wholesale pricing so you set your own tenant-facing rate and keep the spread. If you want to size the offer for a specific tenant profile, talk to the team.
FAQ
Do my tenants have to rearchitect their pipelines to move storage to me?
No. The storage is S3-compatible, so it is a drop-in replacement. Existing pipelines point at a new endpoint and continue working. The data path does not change.
Does offering storage mean I have to hire a storage team?
No. Under Akave Cloud's white-label deployment model, Akave manages the infrastructure for you. You do not operate storage nodes or staff a storage engineering team. Your tenants see your brand and your pricing; Akave runs the layer underneath.
How does zero egress actually change the economics for a GPU workload?
GPU training and inference read the same data repeatedly. On a standard hyperscaler bucket, every read carries a per-gigabyte egress fee. Akave's hot tier is flat-rate with zero egress, so reads do not carry a per-gigabyte charge. For read-heavy AI workloads, that removes the largest variable line on the storage bill.
What is the difference between Akave Cloud's standard and white-label tiers?
Akave Cloud is the standard SaaS tier with flat-rate, zero-egress pricing, fully managed with instant onboarding. Akave's white-label tier is built for NeoCloud operators who want the storage to carry their own brand: your pricing, custom SSL certificate, DNS reroute, and isolated endpoints, with bespoke wholesale pricing. Akave manages both.
Why is the storage tiering gap a problem now specifically?
Many operators built all-flash during the GPU expansion phase, leaving no tiering and no cost-control lever. TrendForce reported enterprise SSD contract prices surged 53–58% quarter-over-quarter in Q1 2026, a record, with NAND Flash prices projected to climb a further 70–75% in Q2 2026, so the cost of holding everything on the most expensive media landed at the least forgiving moment.
References
- TrendForce, Enterprise SSD Price Trend Q1/Q2 2026, Q1 to Q2 2026 enterprise SSD surge (53–58% QoQ); NAND Flash projected +70–75% Q2
- AWS S3 Pricing, S3 Standard storage at ~$23/TB/month; egress at $0.09/GB (first 10TB)
- Google Cloud Storage Pricing, Egress charges up to $0.12/GB