NVIDIA GeForce RTX 4060 technical profile — everything ML teams need to know

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NVIDIA GeForce RTX 4060 packs 8 GB of GDDR6 with 272 GB/s of bandwidth, delivers 15.1 TFLOPS of FP16 compute, and operates at 115W. It's based on the Ada Lovelace architecture introduced in 2023.

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 4060 tends to sit in a balanced spot on all three — which is why it shows up repeatedly in cloud catalogues aimed at ML teams.

Review full specs and related comparisons on the NVIDIA GeForce RTX 4060 page.