The 2026 buying guide sets two hard lines for a local-AI graphics card: at least 16 GB of VRAM, and a compute capability of 7.5 or newer. An RTX 5060 Ti 16GB clears both. It is compute capability 12.0 (Blackwell), with native FP16, BF16, FP8, and FP4.
The doubts are on the memory system. The card is a PCIe 5.0 x8 part with a 128-bit bus. Those specs look thin next to a used data-center GPU that advertises 32 GB and a much wider bus. This page is the card we tested. The measurements are in the follow-ups.
The card
We borrowed a Gigabyte GeForce RTX 5060 Ti 16GB Gaming OC.
Gigabyte’s stated specs for this Gaming OC model:
| Gaming OC card | NVIDIA reference | |
|---|---|---|
| Boost clock | 2647 MHz | 2572 MHz |
| CUDA cores | 4608 | 4608 |
| Memory | 16 GB GDDR7, 28 Gbps | 16 GB GDDR7 |
| Memory bus | 128-bit (448 GB/s) | 128-bit (448 GB/s) |
| Interface | PCIe 5.0 x8 | PCIe 5.0 x8 |
| Size | 281 × 119 × 40 mm | — |
The comparison tables in the later tests use the 2572 MHz reference boost. The card in the photos is the factory-overclocked one.
In June 2026 we would have been happy to buy it around ¥3,500. Above ¥4,000 we would wait. A Tesla V100 SXM2 32GB had climbed to a similar price by then, which is why the next tests put the two cards on the same jobs instead of treating the V100 as a different budget.
What 8 GB had already taught us
The PC in the background was built in 2024 around a Gigabyte RTX 4060 8GB, also a Gaming OC card. It is a fine gaming card. It misses the 16 GB line, so it was never going to be the local-AI machine.
An RTX 4060 Ti 16GB would have cleared the memory line a generation earlier. We did not buy that card at the time. The 5060 Ti 16GB is the correction: same 16 GB idea, plus FP8 and FP4 in hardware.
What we measured next
This page does not have a benchmark. These do, on this same card:
- LTX-2.3 text-to-video against a Tesla V100 32GB. The 5060 Ti was faster and used about half the VRAM.
- Qwen3.6-27B Q4_K_M. The model does not fit in 16 GB. The V100 was much faster.
- Gemma 4 12B Q4_K_M. The model fits. The two cards were much closer.
- The same 5060 Ti moved to a newer PC. The 27B model sped up 164%. The 12B model sped up 18%.
The short version, after those runs: buy the 16 GB card if the price is near what we paid, expect it to do well when the model fits in VRAM, and do not expect a 27B Q4 model to feel quick until you give it more than 16 GB or a much stronger host PC.
Useful? Explore more practical guides in the AICoreShop library.