Cloud GPU Rentals

The cluster focuses on recommendations for renting affordable GPUs from cloud services like Vast.ai, Paperspace, Lambda Labs, and Google Cloud for machine learning tasks such as model training and inference, as alternatives to purchasing expensive local hardware.

➡️ Stable 0.5x AI & Machine Learning
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#9331
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Keywords

NVIDIA TRC NN LLM CLI ML AWS AC GCP TPU gpu cloud gpus training compute models model rent inference gpt

Sample Comments

beebaween Feb 15, 2025 View on HN

This is what services like Vast.ai are for - super cheap GPUs you just use as long as you need etc etc.

nharada May 22, 2023 View on HN

Wait why is renting a GPU in the cloud not a solution? You can even try multiple options and see which ones are capable enough for your use case.Look into some barebones cloud GPU services, for example Lambda Labs which is significantly cheaper than AWS/GCP but offers basically nothing besides the machine with a GPU. You could even try something like Vast in which people rent out their personal GPU machines for cheap. Not something I'd use for uhhh...basically anything corporate, bu

malux85 Jan 22, 2023 View on HN

Try paperspace, they have GPUs and you can set billing limits to stop accidental overusage(no affiliation other than being a happy customer)

hedora Aug 22, 2022 View on HN

I’d rent a cloud vm with a beefy gpu from paperspace or a similar company. It’ll run about $20 per month for casual use.

kragen Jan 30, 2025 View on HN

Maybe running it on a cloud GPU is a better option.

coolvision Nov 23, 2024 View on HN

nice! did you use cloud GPUs or built your own machine?

throwmeup123 Jan 8, 2023 View on HN

Why not use something like vast.ai?

BaculumMeumEst Jan 8, 2024 View on HN

using cloud hardware for training and consumer cards for inference seems like the common sense thing to do then

teruakohatu Apr 12, 2022 View on HN

Google Cloud TPUs would be a good start.

eudoxus Feb 16, 2017 View on HN

Is this currently running on a one of the available GPU cloud services (IE AWS, Azure, Nimbix, etc...) or some self hosted hardware?