What should I run on NVIDIA GeForce RTX 4080 SUPER to get the best value?

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Use cases where NVIDIA GeForce RTX 4080 SUPER performs well: Gaming, inference, fine-tuning. The card's 16 GB of VRAM, Ada Lovelace tensor cores, and consumer positioning suit it for AI teams who need cloud-grade hardware without the premium of the newest accelerators.

A good rule of thumb: if your model fits in 16 GB of VRAM at your target precision, and your workload is bandwidth- or compute-bound rather than memory-bound, NVIDIA GeForce RTX 4080 SUPER is likely a better economic choice than upgrading to a higher tier.

Full specs, benchmarks, and comparisons are on the NVIDIA GeForce RTX 4080 SUPER page.