Compare
Nexpod vs Oracle Cloud for GPU work.
4× H200 · €128.00 /hrsame rate as one nodeper-second meter
Teams running GPU work on Nexpod
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Before you choose
Know what a GPU run involves.
Whichever cloud you pick, a production GPU workload pulls in capacity, data, networking and contracts. Settle this worksheet before you book.
- 01Cluster size and networking written down
- 02GPU family available near your data
- 03Storage and transfer costs estimated
- 04Capacity confirmed for your dates
- 05Contract term and minimums reviewed
- 06Invoice currency agreed
Cluster shape
Decide whether you need one node or many, and how they have to connect.
Data location
Check where your datasets live and what it costs to bring them to the GPUs.
Capacity dates
Confirm the GPUs are free for the dates of your run, not only in general.
Contract terms
Review term lengths, minimum commitments and the currency on the invoice.
Why Nexpod
Start on one server, finish on a cluster.
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.
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: H200.
Endpoints that follow traffic
Workers start when requests queue and stop when the queue drains. Billed per second, down to zero.
Pricing
Pricing without a calculator.
Pick a family and read one number. On demand or reserved, per GPU-hour, metered per second, invoiced in euros.
Rates differ by region, instance size and term, so there is no single number to put here.
→ check Oracle Cloud's own price list for your region
Placeholder quote. A customer who moved GPU work from Oracle Cloud describes, in two plain sentences, what changed on the invoice and in the day-to-day.
Comparison
Oracle Cloud and Nexpod, at a glance.
Our answer on the left. On the right, what to confirm for your Oracle Cloud tenancy, where shape, region and contract set the terms.
Workload fit
Choose where each job runs best.
Plenty of teams keep databases on one cloud and send GPU work to another. Here is how to tell which job goes where.
Nexpod fits when
- You want to start a GPU server today, without a sales cycle.
- You want per-second billing for jobs that stop and start.
- You want one euro invoice for servers, endpoints and clusters.
- You want the same container to run on one node or eight.
Oracle Cloud may fit better when
- Your GPU work sits next to Oracle databases you already run there.
- Existing Oracle contracts already cover your cloud spend.
- You need other services from the same provider in the same region.
Talk to an engineer
A second opinion in 15 minutes.
Show us the cluster you are planning. We tell you how it maps to Nexpod servers and what it costs in euros, with no obligation.
Try it on one workload
Start small. Scale when it proves out.
Run one node for a day, check throughput and cost, then add nodes or move to an Instant Cluster.
- 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