RTX 2080 vs RTX 5060 Ti

The RTX 5060 Ti doubles the compute power with 23.1 TFLOPS in FP16 and FP32 compared to the RTX 2080s 10.1 TFLOPS, enabling roughly twice the speed in training and inference for machine learning models. This FP16 and FP32 parity supports efficient mixed-precision workflows, reducing training times for large language models by handling tensor operations at peak rates. The RTX 5060 Tis 12 GB VRAM exceeds the RTX 2080s 8 to 11 GB, accommodating larger batch sizes and models without swapping to system memory. However, the RTX 2080s 616 GB/s bandwidth surpasses the RTX 5060 Tis 448 GB/s, benefiting memory-bound tasks like high-resolution image processing where data transfer rates limit throughput. Lower TDP on the RTX 5060 Ti at 180 W versus 215 W translates to better power efficiency, ideal for prolonged cloud sessions. Both use PCIe form factors, ensuring broad compatibility.

The RTX 2080 suits budget-conscious users prioritizing cost over peak performance. At $0.05 per hour average $0.07, it undercuts the RTX 5060 Ti by up to 53 percent, fitting light fine-tuning or inference on smaller models within 8 to 11 GB VRAM. High 616 GB/s bandwidth excels in bandwidth-sensitive applications like certain scientific simulations, and NVLink interconnect supports multi-GPU setups unavailable on the RTX 5060 Ti.

Opt for the RTX 5060 Ti in performance-driven scenarios leveraging Blackwell architecture advantages. Its 23.1 TFLOPS delivers over 2x speedup versus 10.1 TFLOPS on the RTX 2080, accelerating LLM training and Stable Diffusion generation. The 12 GB GDDR7 VRAM handles larger datasets, and 180 W TDP ensures efficiency despite slightly higher $0.07 to $0.15 per hour pricing across more providers.