Question 1

What AI models can run on M4 Max (36 GB)?

Accepted Answer

The M4 Max (36 GB) (27 GB VRAM) can run models including gemma-3-4b-pt, gemma-4-E2B-it, gemma-3-4b-it, gemma-3-12b-it, gemma-4-E4B-it and more — 10 compatible models indexed so far. Compatible models are determined by whether the model's memory footprint fits within the GPU's 27 GB VRAM, potentially using quantization (Q8, Q6, or Q4) to reduce memory usage.

Question 2

What is the cheapest cloud option for M4 Max (36 GB)?

Accepted Answer

We don't currently have cloud pricing data for the M4 Max (36 GB). This GPU may not be widely available from major cloud providers, or pricing data hasn't been synced yet.

Question 3

Is M4 Max (36 GB) good for fine-tuning?

Accepted Answer

The M4 Max (36 GB) can handle fine-tuning with some constraints. With 27 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 M4 Max (36 GB) have?

Accepted Answer

The M4 Max (36 GB) has 27 GB of VRAM (LPDDR5X). It also offers 410 GB/s memory bandwidth, 33.8 TFLOPS of FP16 compute.

Question 5

What quantization formats work on M4 Max (36 GB)?

Accepted Answer

The M4 Max (36 GB) supports the following quantization formats: FP16 (full precision), Q8 (8-bit), Q6 (6-bit), Q4 (4-bit). FP16 works for models up to ~7B parameters. Q4 quantization lets models up to ~91B parameters (by VRAM estimate) fit on the M4 Max (36 GB).

M4 Max (36 GB)

Specifications

Cloud pricing

Compatible models

Compare this GPU

Frequently asked questions

VRAM	27 GB
Memory type	LPDDR5X
Bandwidth	410 GB/s
FP16 TFLOPS	33.8
FP8 support	No