Compare
Nexpod vs AWS for GPU work.
8× B300 · €48.00 /hrone line per serverinvoiced in EUR
Teams running GPU work on Nexpod
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Before you choose
Plan for more than the GPU.
On a broad cloud, the GPU is one line inside a larger setup. Before you move a training run or an endpoint, fill in this worksheet for your own account and region.
- 01GPU family offered in your region
- 02Quota approved for 8 GPUs or more
- 03Storage and data transfer estimated
- 04Networking, images and roles scoped
- 05Invoice currency agreed with finance
- 06Reserved term and how to exit it
Capacity and quotas
Confirm the GPU model, the region and the quota you need before you set a launch date.
Every line on the bill
Add compute, storage, data transfer and support together. The GPU rate is only one part.
- network
- image
- roles
- scripts
- first job
Setup before the first job
Count the networking, images, roles and scripts a job needs before it can start.
Procurement and currency
Check the contract path and the currency your finance team will be invoiced in.
Why Nexpod
Eight GPUs, three ways to run them.
A whole server, by the hour
Eight GPUs on NVLink, the host CPUs, the RAM and the NVMe, reserved for you from boot until you stop it. Shown here: B300.
Endpoints that follow traffic
Workers start when requests queue and stop when the queue drains. Billed per second, down to zero.
Many nodes, one fabric
Join 8-GPU servers into one cluster and launch across all of them with one command. The rate per GPU does not change.
Pricing
Rates you can read in one line.
One price per GPU-hour for each family, metered per second, in euros. A full server costs eight times the GPU rate. That is the whole formula.
Rates differ by region, instance size and term, so there is no single number to put here.
→ check AWS's own price list for your region
Placeholder quote. A customer who moved GPU work from AWS describes, in two plain sentences, what changed on the invoice and in the day-to-day.
Comparison
Nexpod and AWS, side by side.
Our answer on the left. On the right, the question to put to your own AWS account, because the answer depends on region, instance type and agreement.
Workload fit
Pick by workload, not by habit.
Most teams end up using more than one cloud. Use this to decide where each workload belongs.
Nexpod fits when
- Your work is GPU-bound: training, fine-tuning, inference or rendering.
- You want a whole 8-GPU server that nobody else shares.
- You want per-second billing and invoices in euros.
- Your data can live in EU-AMS-1, EU-FRA-1 or US-NYC-1.
AWS may fit better when
- Most of your data, apps and permissions already live in one AWS account.
- You need managed services right next to the GPU, not only the GPU.
- Your procurement already runs through an existing AWS agreement.
Talk to an engineer
15 minutes with a GPU engineer.
Bring your current AWS setup and a rough monthly budget. We map it to Nexpod servers and a quote in euros, or tell you plainly to stay where you are.
Try it on one workload
Move one workload. Compare the invoice.
Start with a single training run or endpoint on Nexpod, keep everything else where it is, and judge on your own numbers.
- B300· 288 GB HBM3e€6.00/GPU·hr
- B200· 180 GB HBM3e€5.00/GPU·hr
- H200· 141 GB HBM3e€4.00/GPU·hr
- H100· 80 GB HBM3€3.00/GPU·hr