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compare · ai cloud

The Nebius alternative priced by the whole market

Nebius is a European AI cloud operating large H100/H200-class clusters with a full-stack ML platform. GPU.ai takes the other approach: one account that prices 12+ clouds on every launch and passes the raw rate through at zero markup.

at a glance

Nebius vs GPU.ai

A fair read of both sides: their genuine strengths, the trade-offs, and what an aggregated market does differently.

Nebius

Strengths

  • +Large modern fleets with genuine EU data-residency
  • +Full-stack platform: managed Kubernetes, ML tooling, object storage
  • +Publicly listed and investing heavily in capacity

Trade-offs

  • Strongest fit is committed, cluster-scale usage
  • Smaller ecosystem than the hyperscalers
  • Regional footprint is still concentrated

GPU.ai

The aggregator model

  • Every launch is routed to the cheapest of 12+ clouds with live stock
  • Zero markup: the provider's raw rate is the price you pay
  • Per-second billing from SSH-ready to terminate
  • 30+ GPU models, from budget consumer cards to flagship training silicon
  • One account, one API, one CLI across the whole market

What GPUs cost on GPU.ai right now

Live per-GPU floor prices across our aggregated fleet. Every row links to the full per-model comparison page.

GPUVRAMGPU.ai / GPU / hrStock
RTX A400016 GB$0.080/hr20 available
V10016 GB$0.090/hr2 available
RTX 308010 GB$0.100/hr13 available
RTX 309024 GB$0.130/hr43 available
RTX 508016 GB$0.160/hr20 available
RTX A500024 GB$0.233/hr7 available
RTX 2000 Ada16 GB$0.240/hr4 available
RTX A450020 GB$0.250/hr4 available
L424 GB$0.270/hr10 available
RTX 409024 GB$0.270/hr120 available
RTX 408016 GB$0.270/hr1 available
RTX 4000 Ada20 GB$0.280/hr8 available
RTX PRO 450032 GB$0.300/hr53 available
RTX 509032 GB$0.347/hr130 available
RTX A600048 GB$0.400/hr145 available
A4048 GB$0.490/hr8 available
A100 40GB40 GB$0.565/hr18 available
RTX 6000 Ada48 GB$0.650/hr153 available
L4048 GB$0.780/hr171 available
L40S48 GB$0.790/hr397 available
A100 80GB80 GB$0.880/hr109 available
RTX PRO 600096 GB$1.69/hr200 available
H100 PCIe80 GB$1.98/hr43 available
H100 SXM80 GB$2.27/hr50 available
H100 NVL94 GB$2.67/hr7 available
H200 SXM141 GB$3.59/hr91 available
H200 NVL141 GB$3.61/hr9 available
B200192 GB$5.88/hr22 available
B300288 GB$7.89/hr8 available

How this comparison works

GPU.ai prices are live per-GPU floor rates from our aggregated fleet, normalized per GPU per hour, billed per second, with zero markup on the provider's raw rate. We only show models with launchable stock. Last updated 2026-09-07; this page refreshes hourly.

honest verdict

Which should you pick?

Stay with Nebius if…

  • EU residency plus large reserved clusters is your exact shape
  • You want their managed ML platform end to end

Switch to GPU.ai if…

  • You need flexible hourly capacity across regions and price points
  • You want to comparison-shop every launch automatically

faq

Switching from Nebius

Is GPU.ai a good Nebius alternative?

GPU.ai takes a different approach: instead of running one fleet, it prices the whole GPU market on every launch and routes you to the cheapest provider with live stock, at the provider's raw rate with zero markup. If Nebius's strengths (large modern fleets with genuine eu data-residency) are not the thing you're paying for, an aggregated market usually wins on price and availability.

How does GPU.ai pricing compare to Nebius?

GPU.ai publishes its live per-GPU floor price for every model it carries, currently from $0.080/GPU/hr at the low end. Prices are normalized per GPU per hour and billed per second, and the comparison table on this page is refreshed hourly from live fleet data.

How hard is it to switch from Nebius to GPU.ai?

Launches are standard SSH instances with your keys, so most workflows move without changes: pick a GPU, launch, rsync your data, run. There are no commitments to unwind and no minimum spend. You can trial a single instance for a few cents before moving anything.

When should I stay with Nebius?

Honestly: eu residency plus large reserved clusters is your exact shape, or if you want their managed ml platform end to end. This page's job is a fair comparison, not a hard sell: the live price table above is the argument that matters.