1. CUDA parallel processing cores cannot be compared between GPU generations due to several important architectural differences that exist between streaming multiprocessor designs. 2. Maximum possible power consumption including the Dynamic Boost algorithm. For system specific GPU TGP, please consult your OEM/solution provider. 3. Display support varies by system-level implementation. Check with your workstation OEM vendor for system specific configurations. Adaptors available for DVI-SL, DVI-DL, HDMI, and VGA. 4. Peak rates are based on GPU boost clock. 5. FP4 TOPS with Sparsity (Blackwell), FP8 TOPS with Sparsity (Ada). 6. Number of NVENC and NVDEC may vary by GPU. GPU specific details can be found here: https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new 7. Ensures data integrity and reliability by eliminating soft errors on direct random-access memory (DRAM) only.