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ASUS

ASUS TUF Gaming GeForce RTX 5090 32GB OC

NVIDIA GeForce RTX 5090

Marks: memory that 8B, 14B and 32B language models need at 4-bit (Qwen3 sizes in Ollama). How much memory you need

  • Graphics memory 32 GB GDDR7
  • Memory bandwidth 1,792 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 TUF Gaming GeForce RTX 5090 32GB GDDR7 OC Edition Gaming Graphics Card” · ASIN B0DS2X13PH

Who it’s for

Someone running 32B-class AI models on one card, or chasing the fastest gaming card available.

Pros

  • 32 GB of memory fits 32B-class models at 4-bit
  • 1,792 GB/s — the most bandwidth in this catalog

Cons

  • NVIDIA asks for a 1,000 W power supply
  • Needs a large case: check the card's length before buying

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

Specifications

Graphics memory32 GB GDDR7
Memory bandwidth1,792 GB/s
AI softwareCUDA (NVIDIA): supported by nearly every AI tool

Source: NVIDIA GeForce RTX 5090 specs · Amazon listing checked 2026-09-29.

Compare with other graphics cards

ProductGraphics memoryMemory bandwidthAI software
ASUS Prime GeForce RTX 5060 Ti 16GB16 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 OCThis product32 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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