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compare · ai cloud

The Lambda alternative priced by the whole market●

Lambda runs a popular AI-developer cloud with on-demand instances and one-click clusters, alongside its GPU hardware business. 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

Lambda vs GPU.ai●

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

Lambda

Strengths

  • +Developer-friendly launch flow that ML engineers genuinely like
  • +Competitive headline rates on flagship training GPUs
  • +One-click multi-node clusters with fast interconnect

Trade-offs

  • −Popular SKUs regularly sell out or sit behind availability queues
  • −Catalog is focused on a narrow set of flagship GPUs
  • −Single-provider capacity: when their fleet is full, you wait

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$0.087/hr40 available
RTX 308010 GB$0.110/hr13 available
RTX 309024 GB$0.150/hr51 available
RTX 4000 Ada20 GB$0.200/hr16 available
RTX 408016 GB$0.210/hr5 available
RTX 2000 Ada16 GB$0.240/hr8 available
RTX 508016 GB$0.250/hr15 available
RTX A500024 GB$0.270/hr8 available
L424 GB$0.330/hr24 available
RTX 409024 GB$0.335/hr94 available
RTX PRO 450032 GB$0.350/hr21 available
RTX A600048 GB$0.398/hr33 available
A100 40GB40 GB$0.400/hr24 available
RTX 509032 GB$0.441/hr103 available
A4048 GB$0.490/hr8 available
RTX 6000 Ada48 GB$0.650/hr30 available
L4048 GB$0.690/hr21 available
L40S48 GB$0.800/hr146 available
A100 80GB80 GB$0.960/hr86 available
RTX PRO 600096 GB$1.69/hr64 available
H100 PCIe80 GB$1.98/hr26 available
H100 NVL94 GB$2.59/hr15 available
H200 NVL141 GB$3.29/hr6 available
H100 SXM80 GB$3.49/hr38 available
H200 SXM141 GB$3.59/hr28 available
B200192 GB$6.79/hr9 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 2026-10-01; this page refreshes hourly.

honest verdict

Which should you pick?●

Stay with Lambda if…

  • ●Their exact instance types are reliably available in your region
  • ●You also buy their on-prem hardware and value one vendor

Switch to GPU.ai if…

  • →You keep hitting 'sold out' on the GPU you need
  • →You want the same launch simplicity with a dozen clouds of fallback stock

faq

Switching from Lambda●

Is GPU.ai a good Lambda 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 Lambda's strengths (developer-friendly launch flow that ml engineers genuinely like) are not the thing you're paying for, an aggregated market usually wins on price and availability.

How does GPU.ai pricing compare to Lambda?

GPU.ai publishes its live per-GPU floor price for every model it carries, currently from $0.087/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 Lambda 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 Lambda?

Honestly: their exact instance types are reliably available in your region, or if you also buy their on-prem hardware and value one vendor. This page's job is a fair comparison, not a hard sell: the live price table above is the argument that matters.