GPUs with 32–32 GB VRAM
Browse 4 GPUs with 32–32 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 Radeon PRO W7800
AMD · RDNA 3
576.0 GB/s4,480 SP260W TDP$2,499
NVIDIA GeForce RTX 5090
NVIDIA · Blackwell
1792.0 GB/s21,760 CUDA575W TDP$1,999
NVIDIA RTX 5000 Ada Generation
NVIDIA · Ada Lovelace
576.0 GB/s12,800 CUDA250W TDP$4,000
NVIDIA V100 SXM2 32GB
NVIDIA · Volta
900.0 GB/s5,120 CUDA300W TDP