Got GPUs?
If you needed another pool next quarter, do you know who could deliver it and what it should cost?
For teams that run their own models and pay for the GPUs under them. We take one of your inference workloads to the market, bring back written quotes for dedicated capacity and set them beside what you pay now. Vendors pay us. You pay nothing.
- Do you know what one output costs you, beyond the GPU hourly rate?
- Do you know who could deliver another pool, and by when?
- Do you know what you'd still owe your current provider if a workload moved?
If any answer is no, that's what the first call is for.
When you'll want the comparison.
Most of these arrive with a deadline attached.
Your provider can't give you the capacity
You asked for more GPUs and got a waitlist, or a region you don't serve. The roadmap doesn't wait for the allocation.
A commitment is up for renewal
The renewal quote arrives with a date on it. Without a second written quote, theirs is the only number in the room.
Inference is eating gross margin
Usage grew, and the bill grew faster. Finance asks what one output costs and all you have is an hourly rate.
A customer needs a region or dedicated hardware
A contract or a regulator wants the workload in a particular place, or on hardware that isn't shared, and your current provider can't offer it the way you need.
Nobody owns the comparison
Pricing three providers properly takes weeks of calls, quotes and spreadsheets. It isn't anyone's job, so the renewal goes through.
What idle time does to a GPU rate.
Fixed capacity costs the same whether it's serving or waiting. This is arithmetic, and it cuts both ways.
| Utilization | Effective rate per used GPU-hour | Spend on idle capacity |
|---|---|---|
| 100% | 1.00× | 0% |
| 90% | 1.11× | 10% |
| 80% | 1.25× | 20% |
| 70% | 1.43× | 30% |
| 60% | 1.67× | 40% |
| 50% | 2.00× | 50% |
| 40% | 2.50× | 60% |
| 30% | 3.33× | 70% |
Method: effective rate = the rate you pay ÷ utilization, where utilization is the share of paid GPU-hours that served accepted work. Idle share = 1 − utilization. It applies to any fixed capacity, a cloud reservation and a dedicated server alike.
What utilization are you running, and is your next commitment sized to it?
What you get.
One comparison, built from your numbers and written quotes, and kept current if you go ahead.
Written, dated quotes
Each one names the hardware, the site, the start date and the term, from a provider that can deliver it.
The full cost of each option
Capacity, network, data transfer, storage, operations and one-time costs, counted once and set beside your best current terms.
Cost per output
The same workload at the same quality, latency and concurrency on every option, so the numbers compare.
A yes or no
Including no. If your current terms win, we say so and the comparison is yours to keep.
A test your engineers own
Acceptance criteria you set, agreed before anyone runs anything, so a pass means something.
An operating partner
If you go ahead, we stay on for the order, activation, renewals and the next pool.
Step by step.
Who does what at each one.
How long it takes depends on how quickly suppliers quote and how long your test runs, so we don't promise dates here. We do the chasing.
- You and us01
A 15-minute call
About fit, one workload and the decision coming up.
- You02
You share a redacted summary
What the workload costs today, or the purchase you're planning. A walkthrough works too.
- Ospina03
We go to the market
We take the requirement to providers that can deliver it and bring back written quotes.
- You and us04
We walk you through the comparison
The full cost of each option beside your current terms, and a yes or no.
- You05
Your engineers test it
Against the criteria you set, on your workload.
- Ospina06
We stay on
For the order, activation, renewals and expansion. Nothing is ordered without your approval.
What we need from you, and what we don't.
Enough to price one workload properly. Nothing that gives us access to it.
We need
- The workload: what it runs, and the quality, latency and concurrency it has to meet.
- What it costs today as a redacted summary, or the purchase you're planning.
- The region, the start date and who decides.
We don't need
- Account access or credentials.
- Your full cloud bill.
- Your model weights or your customers' data.
- A commitment to move anything.
How we count a saving.
Three terms. Every expense appears once.
Today's cost
What the workload costs now, at your net rates after discounts.
Less what you'd still owe
Commitments and reservations that outlive a move stay on your bill, so they stay in the math.
Less the full cost of the alternative
Capacity, network, data transfer, storage and the work of running it.
What's left is the saving. One-time transition cost sets the payback.
How we're paid.
Vendors pay Ospina. You pay nothing.
You contract directly with whichever provider you choose. We're not a cloud, a reseller or an integrator, so there's no capacity of ours to sell you.
We go to the whole market for the best fit, price and delivery date: GPU clouds, bare-metal providers, colocation and the private network that ties them to your cloud.
Who it's for.
Teams that run their own models and pay for the GPUs under them.
Voice and speech AI
Real-time models where latency is the product and GPU cost is the cost of goods.
Image, video and audio generation
GPU-heavy, bursty workloads where the cost of one output sets the margin.
Inference platforms and model hosts
Capacity is the inventory, bought ahead of demand across providers and regions.
Enterprises running models in-house
Healthcare, insurance and financial teams that keep models and data on dedicated hardware.
Questions, answered.
What heads of infrastructure, platform leads and finance usually ask.
We call model APIs and don't run our own GPUs. Is this for us?
Probably not yet. If another company runs the model, there's no GPU purchase of yours to compare. If you're weighing whether to bring a model in-house, that's a good first call.
Can you get capacity right now?
We can't promise stock. Supply moves week to week. We take your requirement to providers and come back with written quotes that name the hardware, the site and a start date. If nobody can deliver it, we tell you.
Do we have to leave our cloud?
No. Most comparisons are about one workload or one new pool. The application and its data usually stay where they are, and sometimes the right answer is a better renewal with the provider you have.
Is this only for inference?
No. Inference is where the comparison is cleanest, because it runs every day against a known bar. We also source capacity for training and fine-tuning, and the CPU, storage and connectivity around it.
How do you handle confidentiality?
What you send us is used for your comparison and nothing else. Suppliers see only what you approve. We don't name clients, and if you want an NDA in place before we see anything, we'll sign one.
Do you work outside the US?
Yes, worldwide. Region matters for latency and for where data is allowed to live, so it's one of the first things we ask.
Start with one workload.
A 15-minute call about fit, one workload and the decision coming up. Pick a time that works for you.
Vendors pay us, so the call and the comparison cost you nothing.