NVIDIA GeForce RTX 4060 Ti 16GB vs NVIDIA Tesla P40
Side-by-side comparison for AI and gaming. Which one should you buy in 2026?
Bottom Line
NVIDIA Tesla P40 wins — more VRAM at the same or lower price. No contest for AI.
AI Model Compatibility
How each GPU handles popular AI models. VRAM determines whether a model fits — green means it runs, red means it won't.
Estimated Performance (tok/s)
Bandwidth-based estimates, not hardware benchmarks. Methodology
NVIDIA GeForce RTX 4060 Ti 16GB
The RTX 4060 Ti 16GB is the cheapest NVIDIA card with 16GB of VRAM, making it the gateway to serious local AI work. While its memory bandwidth is limited compared to higher-end cards (288 GB/s), the raw VRAM capacity lets you run 14B parameter models and Stable Diffusion XL. For gaming, it handles 1080p and 1440p well. This is the card we recommend most for budget AI starter builds.
Full specs →NVIDIA Tesla P40
The NVIDIA Tesla P40 is the ultimate budget AI card — 24GB of VRAM for around on the used market. Based on the older Pascal architecture (2016), it lacks modern tensor cores and FP16 acceleration, making inference significantly slower than newer cards. But for hobbyists who want to experiment with 32B models at Q4 quantization without spending thousands, nothing else comes close on price. Requires a second GPU for display output and runs with a loud blower cooler.
Full specs →Who Should Buy Which?
Buy the NVIDIA GeForce RTX 4060 Ti 16GB if:
- + You want better gaming performance
- + You want lower power consumption (165W vs 250W)
- + Cheapest path to 16GB VRAM for local AI on NVIDIA
Buy the NVIDIA Tesla P40 if:
- + You need 24GB VRAM for larger AI models
- + You want to save $120
- + Cheapest 24GB VRAM card available — the budget AI experimenter's pick