Graphics cards
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Cards for gaming and for running AI at home, with the memory and bandwidth that decide what fits.
Chip maker
Memory
Products
GIGABYTE
GIGABYTE GeForce RTX 5060 Ti Gaming OC 16G
- Graphics memory: 16 GB GDDR7
- Memory bandwidth: 448 GB/s
ASUS
ASUS TUF Gaming GeForce RTX 5090 32GB OC
- Graphics memory: 32 GB GDDR7
- Memory bandwidth: 1,792 GB/s
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Side by side
| Product | Graphics memory | Memory bandwidth | AI software |
|---|---|---|---|
| ASUS Prime GeForce RTX 5060 Ti 16GB | 16 GB GDDR7 | 448 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| GIGABYTE GeForce RTX 5060 Ti Gaming OC 16G | 16 GB GDDR7 | 448 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| ASUS TUF Gaming GeForce RTX 5070 12GB OC | 12 GB GDDR7 | 672 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| ASUS Prime GeForce RTX 5070 Ti 16GB OC | 16 GB GDDR7 | 896 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| ASUS Prime GeForce RTX 5080 16GB OC | 16 GB GDDR7 | 960 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| Sapphire Pulse Radeon RX 9070 XT 16GB | 16 GB GDDR6 | 640 GB/s | AMD (ROCm / Vulkan): check support for your AI tool |
| ASUS TUF Gaming GeForce RTX 5090 32GB OC | 32 GB GDDR7 | 1,792 GB/s | CUDA (NVIDIA): supported by nearly every AI tool |
| ASRock Radeon AI PRO R9700 Creator 32GB | 32 GB GDDR6 | 640 GB/s | ROCm / Vulkan (AMD): fine for LLMs, rougher for image and voice tools |
Buying guides
The best GPU for running AI at home in 2026, picked by memoryFive picks by graphics memory, from the RTX 5060 Ti 16 GB to a 128 GB mini PC — and the popular cards we'd skip.How much VRAM do you need for local AI?One table: chat models, image generators and speech tools against 12, 16, 32 and 96 GB.RTX 5060 Ti 16 GB vs RTX 5070 for AI: why the cheaper card winsFor games the 5070 wins. For AI, the cheaper card with more memory does.Field notes: running images, transcription and voice on one 12 GB RTX 3080What really went wrong running images, transcription and voice on one RTX 3080, every day.