Is NVIDIA L40 memory bandwidth enough for LLM production inference?

Válasz

Short version of the NVIDIA L40 spec sheet: 48 GB GDDR6, 864 GB/s, 181 FP16 TFLOPS, 90.5 FP32 TFLOPS, Ada Lovelace (2023), 300W.

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.

Full specs, benchmarks, and comparisons are on the NVIDIA L40 page.