NVIDIA GeForce RTX 5050 8GB vs NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition

Both GPUs launched in 2025: the GeForce RTX 5050 on Blackwell and the RTX PRO 6000 Blackwell on Blackwell.

Dense throughput for the GeForce RTX 5050 against the RTX PRO 6000 Blackwell: FP64 0.2 vs 1.7 TFLOPS, FP32 13 vs 110 TFLOPS, FP16 53 vs 439 TFLOPS, FP8 105 vs 878 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 8 GB against 96 GB, fed at 320 GB/s versus 1.8 TB/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 130 W for the GeForce RTX 5050 and 300 W for the RTX PRO 6000 Blackwell. At FP32 that works out to 0.10 against 0.37 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.