NVIDIA GeForce RTX 4080 full datasheet — the specs that matter for deep learning

💡 Answer

NVIDIA GeForce RTX 4080 is a 2022-generation Ada Lovelace card with 16 GB of GDDR6X memory and 717 GB/s bandwidth. Compute peaks at 48.7 FP16 TFLOPS and 24.4 FP32 TFLOPS; TDP sits at 320W.

The VRAM/bandwidth pairing is the defining feature for machine learning work — it determines what model sizes are accessible and how hard the card can be pushed during production inference. Power draw and cooling requirements mean most NVIDIA GeForce RTX 4080 deployments live in data centres rather than workstations, which is why most NVIDIA GeForce RTX 4080 access in practice comes via the cloud.

Check the NVIDIA GeForce RTX 4080 page for complete specifications and related GPU matchups.