Is NVIDIA GeForce RTX 4080 SUPER memory bandwidth enough for LLM production inference?

Respuesta

Short version of the NVIDIA GeForce RTX 4080 SUPER spec sheet: 16 GB GDDR6X, 736 GB/s, 52.4 FP16 TFLOPS, 26.2 FP32 TFLOPS, Ada Lovelace (2024), 320W.

Long version: the card is tuned for mixed-precision matrix multiplication on large tensors, which is exactly what transformer training and production inference demand. Bandwidth is generous enough to avoid stalling on attention operations, and VRAM capacity covers modern model sizes without requiring offloading to CPU memory.

The NVIDIA GeForce RTX 4080 SUPER page has the complete datasheet and side-by-side comparisons.