Name: Radeon Pro V520
Brand: AMD

Question 1

What AI models can run on Radeon Pro V520?

Accepted Answer

The Radeon Pro V520 (8 GB VRAM) can run models including paligemma-3b-ft-refcoco-seg-896-jax, Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8, Llama-3.2-3B-Instruct-QLORA_INT4_EO8, Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8, paligemma-3b-ft-vizwizvqa-448-jax and more — 10 compatible models indexed so far. Compatible models are determined by whether the model's memory footprint fits within the GPU's 8 GB VRAM, potentially using quantization (Q8, Q6, or Q4) to reduce memory usage.

Question 2

What is the cheapest cloud option for Radeon Pro V520?

Accepted Answer

We don't currently have cloud pricing data for the Radeon Pro V520. This GPU may not be widely available from major cloud providers, or pricing data hasn't been synced yet.

Question 3

Is Radeon Pro V520 good for fine-tuning?

Accepted Answer

The Radeon Pro V520 has limited capacity for fine-tuning with only 8 GB of VRAM. It can handle QLoRA fine-tuning of small models (up to ~3B parameters) but is not recommended for larger training workloads. Consider a GPU with more VRAM for serious fine-tuning.

Question 4

How much VRAM does Radeon Pro V520 have?

Accepted Answer

The Radeon Pro V520 has 8 GB of VRAM (HBM2). It also offers 512 GB/s memory bandwidth, 10.4 TFLOPS of FP16 compute.

Question 5

What quantization formats work on Radeon Pro V520?

Accepted Answer

The Radeon Pro V520 supports the following quantization formats: Q8 (8-bit), Q6 (6-bit), Q4 (4-bit). Q4 quantization can fit models requiring up to ~32 GB at FP16 into 8 GB.

Radeon Pro V520

Specifications

Cloud pricing

Compatible models

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Frequently asked questions

VRAM	8 GB
Memory type	HBM2
Bandwidth	512 GB/s
FP16 TFLOPS	10.4
FP8 support	No