NVIDIA B200 SXM 180GB vs NVIDIA RTX PRO 6000D 84GB

The RTX PRO 6000D is the newer part: Blackwell, launched in 2025, against the B200's Blackwell from 2024. 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 B200 against the RTX PRO 6000D: FP32 75 vs 97 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 180 GB against 84 GB. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

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.