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audio model · bark · Windows

BK Can I run Bark on Nvidia GeForce RTX 4090 (24GB)?

Compatibility verdict memory check
Yes, it runsfast on this GPU

Yes. Bark runs on Nvidia GeForce RTX 4090 (24GB) at fp32 (~5 GB of ~23 GB usable).

Needs ~5 GB Device usable ~23 GB

Runs at fp32 using ~5 GB of ~23 GB usable.

Peak memory
~5 GB
Usable on device
~23 GB
Device memory
24 GB
Quant
fp32

How to run it

Use HF Transformers or suno-ai/bark at fp32. It is light enough to run on CPU; a GPU just makes it faster.

Model bark
Type
Text to speech (and sound effects)
Parameters
900M
Peak memory
~5 GB at fp32
License
MIT
Full Bark requirements →
Device Windows
Memory
24 GB vram
Usable for weights
~23 GB
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 4090 (24GB) →

You could also run

Run Bark on other hardware

FAQ

Can Nvidia GeForce RTX 4090 (24GB) run Bark?

Yes. Bark runs on Nvidia GeForce RTX 4090 (24GB) at fp32 (~5 GB of ~23 GB usable).

How much memory does Bark need?

Nvidia GeForce RTX 4090 (24GB) has room to spare. At fp32 the realistic peak is ~5 GB of memory.

What do I use to run Bark locally?

Bark runs in HF Transformers or suno-ai/bark (among others). It runs on CPU, so no GPU is required.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.