What memory does NVIDIA GeForce RTX 3080 use (HBM, GDDR)?

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NVIDIA GeForce RTX 3080 packs 10 GB of GDDR6X with 760 GB/s of bandwidth, delivers 29.8 TFLOPS of FP16 compute, and operates at 320W. It's based on the Ampere architecture introduced in 2020.

For most AI use cases this matters in three ways: 1) how big a model you can load; 2) how fast attention runs (bandwidth-bound); 3) how fast MatMul-heavy ops run (compute-bound). NVIDIA GeForce RTX 3080 tends to sit in a balanced spot on all three — which is why it shows up repeatedly in cloud catalogues aimed at ML teams.

Check the NVIDIA GeForce RTX 3080 page for complete specifications and related GPU matchups.