Cheapest GPU node to train for a week.

prices as of · re-ranked daily · 63 qualifying machines

A week on a multi-GPU node is the unit a real training run is bought in, and the gap between the on-demand price and the interruptible one is the whole decision. We count only machines with two GPUs or more, each with 40 GB or more, and 63 of the 156 rentals we read qualify. The cheapest of them is $198 per week at 2A6000.20V · 2x RTX A6000 48GB, which rents for $0.592/GPU-hr. They are ranked by what the work costs rather than by the hourly rate, because a faster card at twice the price can still be the cheaper way to buy the job.

The cheapest machine that can do this job is 2A6000.20V · 2x RTX A6000 48GB at Verda (DataCrunch): $198 per week, read 17 Sept 2026.

Cheapest that fits

2A6000.20V · 2x RTX A6000 48GB

Verda (DataCrunch)

$198per week

$0.592/GPU-hr · $99 on spot

lowest cost per week

Most memory for the money

8A6000.80V · 8x RTX A6000 48GB

Verda (DataCrunch)

$796per week

$0.592/GPU-hr · $398 on spot

the largest instance in the first twenty-five

What actually matters here

More than one GPU
Training anything worth a week of compute is split across GPUs. One card is a fine-tune, not a training run, which is why this list starts at two.
40 GB a board or more
Below that the batch size collapses and the run spends its week moving data instead of learning. It is the floor the training boards of every generation clear.
What links the GPUs
NVLink and NVSwitch inside a node, InfiniBand between them. Where a provider states it, the row says so; where it does not, nothing here guesses.
Checkpoint if you take the spot price
An interruptible machine can be taken back mid-run. The saving is real and so is the restart, so the two columns are shown side by side rather than blended into one number.

Cheapest 10 per week

A week is 168 hours of the whole instance at its published hourly rate, with no commitment discount, because a committed rate is not the standard recurring price this index carries. The interruptible column is the same 168 hours at the spot rate, which assumes the run is never preempted; a real run on spot costs somewhere between the two. The price beside each row is the on-demand rate for one GPU for one hour, so the two numbers answer different questions: $0.592/GPU-hr is what the GPU costs, and $198 per week is what the work costs.

Frequently asked

What is the cheapest GPU to train for a week?
2A6000.20V · 2x RTX A6000 48GB at Verda (DataCrunch), $198 per week. That is 2x RTX A6000 with 48 GB of memory each, renting for $0.592/GPU-hr. Read on 17 Sept 2026.
How is the cost worked out?
A week is 168 hours of the whole instance at its published hourly rate, with no commitment discount, because a committed rate is not the standard recurring price this index carries. The interruptible column is the same 168 hours at the spot rate, which assumes the run is never preempted; a real run on spot costs somewhere between the two.
Why do only 63 machines qualify?
The job needs two GPUs or more, each with 40 GB or more. The other 93 rentals we read are still in the index; they just cannot do this job as described. Serverless rates are left out entirely, because they buy a container that runs when it is called rather than a machine you hold.
Can I pay less on spot?
41 of the 63 qualifying machines publish an interruptible rate, and the column beside each row shows what the same work would cost on it if the run were never preempted. It can be, so treat the spot figure as a floor rather than a quote.
How current are these prices?
Prices are read daily from 10 providers' own public pages and keyless APIs, and this ranking recomputes with them. Last refresh: 17 Sept 2026.
Related jobsCheapest GPU to run a 70B modelCheapest GPU to fine-tune a 7B modelCheapest eight-GPU nodeCheapest interruptible GPU rental