GPUs with 16–16 GB VRAM
Browse 13 GPUs with 16–16 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 RX 6800
AMD · RDNA 2
512.0 GB/s3,840 SP250W TDP$579
AMD Radeon RX 6800 XT
AMD · RDNA 2
512.0 GB/s4,608 SP300W TDP$649
AMD Radeon RX 6900 XT
AMD · RDNA 2
512.0 GB/s5,120 SP300W TDP$999
AMD Radeon RX 7800 XT
AMD · RDNA 3
624.0 GB/s3,840 SP263W TDP$499
Intel Arc A770 16GB
Intel · Alchemist
560.0 GB/s225W TDP$349
NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA · Ada Lovelace
288.0 GB/s4,352 CUDA165W TDP$499
NVIDIA GeForce RTX 4070 Ti SUPER
NVIDIA · Ada Lovelace
672.0 GB/s8,448 CUDA285W TDP$799
NVIDIA GeForce RTX 4080
NVIDIA · Ada Lovelace
716.8 GB/s9,728 CUDA320W TDP$1,199
NVIDIA GeForce RTX 4080 SUPER
NVIDIA · Ada Lovelace
736.0 GB/s10,240 CUDA320W TDP$999
NVIDIA GeForce RTX 5070 Ti
NVIDIA · Blackwell
896.0 GB/s8,960 CUDA300W TDP$749
NVIDIA GeForce RTX 5080
NVIDIA · Blackwell
960.0 GB/s10,752 CUDA360W TDP$999
NVIDIA RTX A4000
NVIDIA · Ampere
448.0 GB/s6,144 CUDA140W TDP$1,000
NVIDIA T4
NVIDIA · Turing
320.0 GB/s2,560 CUDA70W TDP