ASUS GTX 970 Dragon Knight Overview | Generated by AI

Home 2026.07

Question: What is this ASUS GTX 970 4GB “Dragon Knight” GPU listing?

Answer:

NVIDIA GeForce GTX 970 is an older gaming GPU released in 2014 based on NVIDIA’s Maxwell (GM204) architecture.

The listing:

华硕 GTX970-4G 龙骑士显卡 接口OK,PCIE通道OK 已经清灰换好硅脂了。 到手直接上机。

means:

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Specs

  GTX 970
Architecture Maxwell GM204
CUDA cores 1664
VRAM 4GB GDDR5
Memory bus 256-bit (effectively 224-bit usable due to GTX 970 memory partition issue)
PCIe 3.0 x16
Power ~145W
Recommended PSU 500W
Release 2014

AI / LLM usage

For your AI experiments, this card is basically not useful.

Reasons:

  1. Only 4GB VRAM

    • Cannot run meaningful modern LLM inference.
    • Even tiny models need careful quantization.
  2. No Tensor Cores

    • Maxwell has CUDA cores only.
    • No FP16 acceleration like RTX cards.
  3. Old CUDA support

    • Modern PyTorch wheels usually target newer NVIDIA architectures.
    • You will fight compatibility issues.

Compared with your RTX 4070:

  GTX 970 RTX 4070
Architecture Maxwell Ada Lovelace
VRAM 4GB 12GB
CUDA cores 1664 5888
Tensor cores ✅ 4th gen
FP16 weak very strong
LLM no yes

Gaming today

Still okay for:

Not good for:

Price judgment (2026)

On second-hand markets:

For a cheap desktop GPU it is okay, but for an AI workstation I would skip it.

Your previous GPU direction (RTX 3060 12GB / RTX 3090 / multiple RTX cards) makes much more sense because VRAM is the limiting resource for LLM work. A GTX 970 is basically a display card today, not a compute card.


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