Catalog
On-demand instances as published. Clusters and inference labeled separately.
Provider review / verified 2026-09-05
Verda is the Helsinki-born GPU cloud formerly known as DataCrunch. Self-serve instances, clusters, inference. European operator with Nvidia-partner ambitions. The rename does not change how an hour ranks.
Our reading
I knew them as DataCrunch: one of the less-annoying ways to get a datacenter GPU without AWS. Verda is the same company trying to be a full AI cloud. I still rank the instance. If you want EU-flavoured NVIDIA with self-serve history, they stay on the list next to Nebius. If you only remember the blog post about the Series A, that is not a SKU.
Rent it if European teams who want a specialist GPU cloud with a self-serve path, plus people who already had a DataCrunch account.
Skip it if US-only marketplace shoppers. Reserved GB200 theatre without a quote process.
How we compare hoursSame standard, every cloud
Four checks we apply to every provider. This is not a score, and it is not a paid ranking.
On-demand instances as published. Clusters and inference labeled separately.
Specialist-cloud band. Compare to Nebius, Koyeb, RunPod Secure.
GPU cloud + growing platform. Helsinki HQ, global sales motion.
Region (Finland/Iceland vs elsewhere) and SKU. Sovereignty is a region, not a logo.
Catalog listings
Published on-demand hours first. Spot and waitlists are labeled. Confirm the live rate before you provision.
DataCrunch → Verda is a growth story. Your trainer cares about VRAM, interconnect, and whether the instance booted. I will use the new name. I will not pretend it is a new physics.
Verda, Nebius, Koyeb, Hyperstack. Four different products. Verda is the ‘we have been renting GPUs from the Nordics’ one. Put them next to Nebius if you wanted a cloud, next to Koyeb if you wanted a PaaS, next to Hyperstack if you wanted a simple VM.
Find the GPU, region, on-demand hour.
Same card. Same commercial type.
Nordics vs other regions. Then provision.
FAQ
Yes, rebrand. Same operator lineage. Rank the instance, not the brand film.
Often on GPU hours. You trade away the AWS estate. That can be the whole point.
Both want to be European-capable AI clouds. Compare region + SKU + on-demand hour. I will not pick a mascot.
People who want a specialist GPU cloud with EU roots and a self-serve path, not a marketplace.
Sources
Prices and SKUs are from the GPUBeacon catalog sample. Ranking rules are on the methodology page. Outbound links may be affiliate. They never change the hour we display.
Keep comparing
Same fields, different product. Compare the GPU hour before you lock a brand.