GPUs with 32–undefined GB VRAM
Browse 36 GPUs with 32–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
NVIDIA RTX PRO 4500 Blackwell Server Edition
NVIDIA · Blackwell
800.0 GB/s10,496 CUDA165W TDP
NVIDIA RTX PRO 5000 Blackwell
NVIDIA · Blackwell
1344.0 GB/s14,080 CUDA300W TDP$4,500
NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
NVIDIA · Blackwell
1792.0 GB/s24,064 CUDA300W TDP$8,565
NVIDIA RTX PRO 6000 Blackwell Server Edition
NVIDIA · Blackwell
1597.0 GB/s24,064 CUDA600W TDP
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
NVIDIA · Blackwell
1792.0 GB/s24,064 CUDA600W TDP$8,565
NVIDIA V100 SXM2 32GB
NVIDIA · Volta
900.0 GB/s5,120 CUDA300W TDP