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Price disclaimer: All prices are indicative list prices in USD, collected automatically from provider APIs and public catalogs and refreshed about every 2 hours. They exclude taxes, storage, egress and other fees unless a provider bundles them, may be out of date, and don't guarantee availability. The provider's own website is authoritative at the time of booking. PetaPrice does not rent out compute and is not a party to any contract with a provider. FLOPS are theoretical peak values from vendor datasheets. More

GPU glossary/Memory

VRAM

Also known as: GPU memory

The GPU's own memory. The model weights, activations and KV cache must fit in it (or be split across GPUs), so VRAM often decides which GPU you can use at all.

Best value right now

Ranked by $ per GB of VRAM per hour at each GPU's lowest on-demand price.

1RTX 309024 GB$0.11/h$0.005/GB·h
2Quadro RTX 800048 GB$0.26/h$0.005/GB·h
3RTX 4060 Ti16 GB$0.09/h$0.006/GB·h
4RTX A500024 GB$0.16/h$0.007/GB·h
5RTX 5060 Ti16 GB$0.11/h$0.007/GB·h
6RTX A600048 GB$0.33/h$0.007/GB·h
7Instinct MI325X256 GB$2.00/h$0.008/GB·h
8Instinct MI355X288 GB$2.59/h$0.009/GB·h

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Related terms

HBMHigh Bandwidth Memory, stacked next to the chip on datacenter GPUs (HBM2e, HBM3, HBM3e). Several times faster than the GDDR memory on consumer and workstation cards.
Memory bandwidthHow fast the GPU reads its memory, in GB/s or TB/s. Generating LLM tokens is usually limited by bandwidth rather than FLOPS, which is why PetaPrice can rank GPUs by bandwidth per dollar.
KV cacheMemory an LLM keeps for every token in its context during inference. Long contexts and many parallel requests need a lot of it, on top of the model weights.