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compare · hyperscaler

The Oracle Cloud alternative priced by the whole market●

Oracle Cloud Infrastructure has positioned itself as the aggressive-pricing hyperscaler for GPU compute, including large bare-metal clusters. GPU.ai takes the other approach: one account that prices 12+ clouds on every launch and passes the raw rate through at zero markup.

Try a launch for centsSee live prices

at a glance

Oracle Cloud vs GPU.ai●

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

Oracle Cloud

Strengths

  • +Bare-metal GPU shapes with strong cluster networking
  • +More aggressive list pricing than the other hyperscalers
  • +Has landed several headline AI-lab capacity deals

Trade-offs

  • −Smaller ecosystem of managed services around the GPU
  • −Large-cluster pricing favors big commitments over small on-demand jobs
  • −Console and tooling feel enterprise-first rather than developer-first

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/hr24 available
V10016 GB$0.090/hr2 available
RTX 308010 GB$0.100/hr14 available
RTX 309024 GB$0.120/hr36 available
RTX 508016 GB$0.159/hr20 available
RTX 408016 GB$0.180/hr5 available
RTX A500024 GB$0.232/hr7 available
RTX 2000 Ada16 GB$0.240/hr8 available
L424 GB$0.270/hr22 available
RTX 409024 GB$0.270/hr125 available
RTX 509032 GB$0.347/hr158 available
RTX A600048 GB$0.405/hr107 available
A4048 GB$0.490/hr8 available
A100 40GB40 GB$0.565/hr25 available
RTX 6000 Ada48 GB$0.650/hr167 available
RTX PRO 450032 GB$0.720/hr52 available
L4048 GB$0.780/hr116 available
L40S48 GB$0.790/hr356 available
A100 80GB80 GB$0.880/hr128 available
RTX PRO 600096 GB$1.69/hr218 available
H100 PCIe80 GB$1.98/hr36 available
H100 SXM80 GB$2.27/hr59 available
H100 NVL94 GB$2.37/hr10 available
H200 SXM141 GB$3.59/hr87 available
H200 NVL141 GB$3.79/hr17 available
B200192 GB$5.32/hr15 available
B300288 GB$7.89/hr12 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 Oracle Cloud if…

  • ●You are negotiating multi-year cluster capacity at scale
  • ●Your data already lives in Oracle's ecosystem

Switch to GPU.ai if…

  • →You need small-to-mid GPU counts on demand, today
  • →You want one API across many clouds instead of one vendor's shapes

faq

Switching from Oracle Cloud●

Is GPU.ai a good Oracle Cloud 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 Oracle Cloud's strengths (bare-metal gpu shapes with strong cluster networking) are not the thing you're paying for, an aggregated market usually wins on price and availability.

How does GPU.ai pricing compare to Oracle Cloud?

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 Oracle Cloud 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 Oracle Cloud?

Honestly: you are negotiating multi-year cluster capacity at scale, or if your data already lives in oracle's ecosystem. This page's job is a fair comparison, not a hard sell: the live price table above is the argument that matters.