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ASUS
ASUS Prime GeForce RTX 5070 Ti 16GB OC
NVIDIA GeForce RTX 5070 Ti
8B14B32B
16 GB
Marks: memory that 8B, 14B and 32B language models need at 4-bit (Qwen3 sizes in Ollama). How much memory you need
- Graphics memory 16 GB GDDR7
- Memory bandwidth 896 GB/s
- AI software CUDA (NVIDIA): supported by nearly every AI tool
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Price, availability and customer reviews are on Amazon.
Amazon listing: “ASUS Prime GeForce RTX 5070 Ti 16GB GDDR7 OC Edition Gaming Graphics Card” · ASIN B0DS6V7L5M
Who it’s for
Someone who wants fast 16 GB performance for both 1440p/4K gaming and local AI.
Pros
- 896 GB/s bandwidth with 16 GB of memory
- CUDA support
Cons
- Still 16 GB: models above about 14B at 4-bit won't fit fully on the card
Pros and cons come from the maker’s specs below, not from testing this unit. How we pick.
Specifications
| Graphics memory | 16 GB GDDR7 |
|---|---|
| Memory bandwidth | 896 GB/s |
| AI software | CUDA (NVIDIA): supported by nearly every AI tool |
Source: NVIDIA RTX 5070 family specs · Amazon listing checked 2026-09-29.
Compare with other graphics cards
| 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 OCThis product | 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 |