GPUs with 46–50 GB VRAM
Browse 8 GPUs with 46–50 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 W7900
AMD · RDNA 3
864.0 GB/s6,144 SP295W TDP$3,999
Intel Arc Pro B60 Dual 48GB
Intel · Xe2 (Battlemage), 2x BMG-G21 (Xe2-HPG)
456.0 GB/s400W TDP$1,200
NVIDIA A40
NVIDIA · Ampere
696.0 GB/s10,752 CUDA300W TDP
NVIDIA L40
NVIDIA · Ada Lovelace
864.0 GB/s18,176 CUDA300W TDP
NVIDIA L40S
NVIDIA · Ada Lovelace
864.0 GB/s18,176 CUDA350W TDP
NVIDIA Quadro RTX 8000
NVIDIA · Turing
672.0 GB/s4,608 CUDA260W TDP$9,999
NVIDIA RTX 6000 Ada Generation
NVIDIA · Ada Lovelace
960.0 GB/s18,176 CUDA300W TDP$6,799
NVIDIA RTX A6000
NVIDIA · Ampere
768.0 GB/s10,752 CUDA300W TDP$4,649