NVIDIA RTX 5090 vs 4090: Comprehensive Benchmark Analysis for AI Workloads (2025 Update) Hardware Architecture Breakdown Technical Specifications Comparison Specification RTX 5090 RTX 4090 Architectural Significance CUDA Cores 18,432 (Blackwell Architecture) 16,384 (Ada Lovelace) 12.5% increase in parallel compute Tensor Cores 4th Gen AI Accelerators 3rd Gen with Sparsity Support 2X FP16 performance improvement Memory Bandwidth 1.2TB/s GDDR7 1.0TB/s GDDR6X 20% bandwidth enhancement TDP 450W 450W Similar power requirements Source: Medium technical analysis Experimental Methodology Test Environment Configuration # Standardized Testing Setup import torch print(f”PyTorch Version: {torch.__version__}”) print(f”CUDA Available: {torch.cuda.is_available()}”) print(f”Device Name: {torch.cuda.get_device_name(0)}”) Three Core AI Workload Benchmarks id: testing-workflow …