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ASUS

ASUS Prime GeForce RTX 5060 Ti 16GB

NVIDIA GeForce RTX 5060 Ti 16GB

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 448 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 5060 Ti 16GB GDDR7 Gaming Graphics Card” · ASIN B0F4RZDFD5

Who it’s for

Someone who wants 16 GB of graphics memory for local AI or 1440p gaming without paying for a 5070 Ti or 5080.

Pros

  • 16 GB of memory fits 14B-class language models at 4-bit with room for context
  • CUDA support, so AI tools tend to work out of the box

Cons

  • 448 GB/s is half the bandwidth of an RTX 5070 Ti, so the same model generates text more slowly

Pros and cons come from the maker’s specs below, not from testing this unit. How we pick.

Specifications

Graphics memory16 GB GDDR7
Memory bandwidth448 GB/s
AI softwareCUDA (NVIDIA): supported by nearly every AI tool

Source: NVIDIA RTX 5060 family specs · Amazon listing checked 2026-09-29.

Compare with other graphics cards

ProductGraphics memoryMemory bandwidthAI software
ASUS Prime GeForce RTX 5060 Ti 16GBThis product16 GB GDDR7448 GB/sCUDA (NVIDIA): supported by nearly every AI tool
GIGABYTE GeForce RTX 5060 Ti Gaming OC 16G16 GB GDDR7448 GB/sCUDA (NVIDIA): supported by nearly every AI tool
ASUS TUF Gaming GeForce RTX 5070 12GB OC12 GB GDDR7672 GB/sCUDA (NVIDIA): supported by nearly every AI tool
ASUS Prime GeForce RTX 5070 Ti 16GB OC16 GB GDDR7896 GB/sCUDA (NVIDIA): supported by nearly every AI tool
ASUS Prime GeForce RTX 5080 16GB OC16 GB GDDR7960 GB/sCUDA (NVIDIA): supported by nearly every AI tool
Sapphire Pulse Radeon RX 9070 XT 16GB16 GB GDDR6640 GB/sAMD (ROCm / Vulkan): check support for your AI tool
ASUS TUF Gaming GeForce RTX 5090 32GB OC32 GB GDDR71,792 GB/sCUDA (NVIDIA): supported by nearly every AI tool
ASRock Radeon AI PRO R9700 Creator 32GB32 GB GDDR6640 GB/sROCm / Vulkan (AMD): fine for LLMs, rougher for image and voice tools

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