GPUs with 80–undefined GB VRAM
Browse 5 GPUs with 80–undefined GB VRAM compatible with running LLM models locally. Compare VRAM, memory bandwidth, and AI performance.
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The amount of VRAM is the most important specification for running LLMs locally. Most 7B parameter models require 4–8 GB of VRAM at common quantization levels, while 70B models need 24–48 GB. Memory bandwidth determines how fast the model generates tokens — faster bandwidth means faster responses.
GPU List
AMD Instinct MI250X
AMD · CDNA 2
3276.8 GB/s14,080 SP560W TDP
AMD Instinct MI300X
AMD · CDNA 3
5300.0 GB/s19,456 SP750W TDP
NVIDIA A100 80GB SXM
NVIDIA · Ampere
2039.0 GB/s6,912 CUDA400W TDP
NVIDIA H100 PCIe
NVIDIA · Hopper
2039.0 GB/s14,592 CUDA350W TDP
NVIDIA H100 SXM
NVIDIA · Hopper
3352.0 GB/s16,896 CUDA700W TDP