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audio model · bark · Windows

BK Can I run Bark on Nvidia GeForce RTX 4060 Ti (16GB)?

Compatibility verdict memory check
Yes, it runsfast on this GPU

Yes. Bark runs on Nvidia GeForce RTX 4060 Ti (16GB) at fp32 (~5 GB of ~15 GB usable).

Needs ~5 GB Device usable ~15 GB

Runs at fp32 using ~5 GB of ~15 GB usable.

Peak memory
~5 GB
Usable on device
~15 GB
Device memory
16 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
16 GB vram
Usable for weights
~15 GB
Best runtime
Ollama (CUDA) / llama.cpp CUDA
Best models for Nvidia GeForce RTX 4060 Ti (16GB) →

You could also run

Run Bark on other hardware

FAQ

Can Nvidia GeForce RTX 4060 Ti (16GB) run Bark?

Yes. Bark runs on Nvidia GeForce RTX 4060 Ti (16GB) at fp32 (~5 GB of ~15 GB usable).

How much memory does Bark need?

Nvidia GeForce RTX 4060 Ti (16GB) 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.