NVIDIA GeForce RTX 4090 24GB vs NVIDIA RTX A5000 24GB

The GeForce RTX 4090 is the newer part: Ada Lovelace, launched in 2022, against the RTX A5000's Ampere from 2021. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the GeForce RTX 4090 against the RTX A5000: FP64 1.3 vs 0.4 TFLOPS, FP32 83 vs 28 TFLOPS, FP16 165 vs 28 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 24 GB against 24 GB, fed at 1.0 TB/s versus 768 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 450 W for the GeForce RTX 4090 and 230 W for the RTX A5000. At FP32 that works out to 0.18 against 0.12 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.