Name: RX 9070 XT
Brand: AMD

Question 1

What AI models can run on RX 9070 XT?

Accepted Answer

The RX 9070 XT (16 GB VRAM) can run models including gemma-3-4b-pt, gemma-4-E2B-it, gemma-3-4b-it, Qwen2.5-1.5B-Instruct, Qwen2.5-3B-Instruct and more — 10 compatible models indexed so far. Compatible models are determined by whether the model's memory footprint fits within the GPU's 16 GB VRAM, potentially using quantization (Q8, Q6, or Q4) to reduce memory usage.

Question 2

What is the cheapest cloud option for RX 9070 XT?

Accepted Answer

We don't currently have cloud pricing data for the RX 9070 XT. This GPU may not be widely available from major cloud providers, or pricing data hasn't been synced yet.

Question 3

Is RX 9070 XT good for fine-tuning?

Accepted Answer

The RX 9070 XT can handle fine-tuning with some constraints. With 16 GB of VRAM, it's suitable for LoRA/QLoRA fine-tuning of models up to ~7B parameters. Full fine-tuning is limited to smaller models (~1-3B parameters). Techniques like gradient checkpointing and mixed precision help maximize what fits.

Question 4

How much VRAM does RX 9070 XT have?

Accepted Answer

The RX 9070 XT has 16 GB of VRAM (GDDR6). It also offers 640 GB/s memory bandwidth, 194.6 TFLOPS of FP16 compute, FP8 support for efficient inference.

Question 5

What quantization formats work on RX 9070 XT?

Accepted Answer

The RX 9070 XT supports the following quantization formats: FP16 (full precision), FP8, Q8 (8-bit), Q6 (6-bit), Q4 (4-bit). FP16 works for models up to ~3B parameters. FP8 halves memory vs FP16 with minimal quality loss. Q4 quantization can fit models requiring up to ~64 GB at FP16 into 16 GB.

RX 9070 XT

Specifications

Cloud pricing

Compatible models

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Frequently asked questions

VRAM	16 GB
Memory type	GDDR6
Bandwidth	640 GB/s
FP16 TFLOPS	194.6
FP8 support	Yes