Nebius vs Lambda Labs in 2026: which GPU cloud suits your workload?

17 October 2026

Nebius and Lambda Labs both sell GPU compute aimed at AI teams, and they come up together in searches. This comparison uses only what each provider states on its own pages, checked on 17 October 2026. Providers change their pages often, so confirm anything that matters to you before you commit. We do not have a referral link with either provider.

The short version

Choose Nebius if you need UK or European regions, or you want the newest GPU lines on a published price list. Choose Lambda Labs if you want a simple per GPU hour list for H100 and A100 and you are working mainly from the US or the regions it lists. Either way, run a short test on your own workload first.

GPUs offered

Nebius lists on demand instances for HGX H100, H200, B200 and B300, RTX PRO 6000 and L40S on its pricing page. It lists GB200 and GB300 systems as contact us. The table we read did not list A100.

Lambda lists B200, H100 SXM, A100 SXM (80 GB and 40 GB variants) and V100 on its pricing page. Its page text mentions GH200, but we did not see it in the price table, and it did not show H200 in the table either.

If you need A100, Lambda lists it and Nebius did not on the page we read. If you need H200, Nebius lists it and Lambda did not in its table.

How each one bills

Both list prices per GPU per hour. Neither page we read stated a billing increment, so check how a short job is billed before relying on either.

Lambda states that filesystems are billed per GB used per month, in increments of one hour, and that if you delete an instance but not its filesystem you keep being billed for the filesystem (Lambda docs). Look for the same detail on Nebius before you store large datasets.

Egress and data transfer

Nebius's pricing page lists networking egress and ingress traffic as free. It lists object storage egress separately, with a per GiB charge on its standard storage class and different terms on other classes, so check which class you would use.

Lambda's pricing page description says there are no egress fees. We did not see that statement repeated in the visible pricing content or in the instance documentation we read, so confirm it with Lambda if egress matters to you.

Regions

Nebius's regions page lists public regions in Finland, Madrid in Spain, France, Israel, the United Kingdom and two in the US (Kansas City and Minnesota). It also lists a private region in Iceland for customers who already have deployments there.

Lambda's documentation lists 14 regions: Tokyo and Osaka in Japan, India, Germany, Israel, and several in the US (Virginia, Washington DC, Illinois, Texas, California, Arizona and Utah). It notes that not every instance type is available in every region.

If you need UK data residency, Nebius lists UK regions and we did not see a UK region on Lambda's list. If you are in the US or want an Asian region, Lambda's list covers more of those.

Commitments

Nebius states that you can pay less than on demand rates by reserving large clusters for multiple months. It did not state a minimum commitment size on the page we read.

Lambda lists its 1-Click Clusters from 16 GPUs, with durations from two weeks to a year or more. It states no minimum for single instances. For reserved capacity it asks you to contact it.

If you are a small team renting a GPU for days or weeks, the on demand lists are the part that applies to you.

Security credentials

Nebius's trust centre lists SOC 2 Type II, SOC 3, several ISO standards including 27001 and 27701, and says that as an EU data processor it operates under GDPR. The page does not give certificate details or scope.

Lambda's trust page states a SOC 2 Type II attestation and ISO 27001, 27017, 27701 and 22301 certification.

These are the providers' own statements. If a customer asks you for evidence, request the reports directly from the provider.

How to choose

Match the GPU first: which model, how much memory, how many. Then check regions against where your data and users are, then egress and storage billing against how much data you move, then commitments against how long you will run. Use the ComputeClarity calculator for the stored H100 and A100 rates with the date each was collected, and see the wider provider comparison for the other options.