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Datacenter GPU prices per GB — Tesla, A100, H100, Instinct

Used and new datacenter accelerators — NVIDIA Tesla, A-series, L-series and H100, AMD Instinct and FirePro — ranked by price per gigabyte of memory. The cheapest way to get a lot of VRAM. Updated Oct 11, 2026 13:57 UTC.

Datacenter GPUs are not plug-and-play in a desktop. They have no fans, need strong airflow (a fan shroud), usually an 8-pin EPS power cable and "Above 4G decoding" in the BIOS, and most have no display outputs. SXM modules need an SXM server or an adapter board.

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Buying tips

Datacenter cards have no fans and usually no display outputs: they rely on server airflow, so in a desktop you need a 3D-printed fan shroud or a blower fan. Most need "Above 4G decoding" enabled in the BIOS and an 8-pin EPS (CPU-style) power cable, not a PCIe one. SXM modules (V100/A100 SXM) only fit SXM servers or an SXM-to-PCIe adapter board. For AI and LLM work, check CUDA support: Kepler cards (K80, K40, GRID K1/K2) stopped at CUDA 11, and Maxwell, Pascal and Volta cards (M40, P40, P100, V100) are not supported by CUDA 13 — they still work with CUDA 12 builds of PyTorch and llama.cpp. Multi-GPU boards such as the K80 (2×12 GB) or M10 (4×8 GB) show up to the system as several smaller GPUs.

How this table works

We collect Buy It Now listings from eBay US several times a day and divide the total price, including shipping, by the amount of video memory. Only cards we can identify by model are listed; the memory size comes from the model (and the variant named in the title, e.g. RTX 3060 8GB vs 12GB), not from the seller's guess. Multi-GPU boards are counted by their total memory. We remove empty boxes, coolers, backplates, brackets and other accessories, cards for parts or with missing chips, mining-only cards without video outputs, laptop MXM modules, Mac Pro MPX modules, PC bundles and offers far below every other listing for the same model.