In gaming, 16gb helps with higher resolutions because they inherently use more vram, and with 1%/0.1% lows because you reduce the chances of data not being available on the GDDR memory.
In terms of AI inferencing, people are pretty much always vram bound, so if that is a specific interest of yours you want the most vram possible.
Both of these card are honestly in a VERY awkward spot. The 4060ti 8gb doesn’t have enough vram and the 4060ti 16gb doesn’t have enough performance (For gaming) or bandwidth (for AI). The 8gb is outclassed by the 4060, and the 16gb by the 4070 or 3090. Both cards were overpriced at release especially the 16gb. I would not recommend either of them unless you get them at very good pricing.
They have done this several times.
In gaming, 16gb helps with higher resolutions because they inherently use more vram, and with 1%/0.1% lows because you reduce the chances of data not being available on the GDDR memory.
In terms of AI inferencing, people are pretty much always vram bound, so if that is a specific interest of yours you want the most vram possible.
Both of these card are honestly in a VERY awkward spot. The 4060ti 8gb doesn’t have enough vram and the 4060ti 16gb doesn’t have enough performance (For gaming) or bandwidth (for AI). The 8gb is outclassed by the 4060, and the 16gb by the 4070 or 3090. Both cards were overpriced at release especially the 16gb. I would not recommend either of them unless you get them at very good pricing.