HUST + Huawei · 2026-07-29 · notable
TurboVLA — 0.2B robot policy runs at 32 Hz on RTX 4090 in under 1 GB VRAM
TurboVLA is a 0.2B-parameter vision-language-action model that swaps the usual V→L→A pipeline for a direct V+L→A path, hitting 97.7% on LIBERO at 32 Hz on an RTX 4090 with under 1 GB VRAM.
A tiny vision-language-action model that keeps up with a real robot on a gaming GPU.
Key specs
| Parameters | 0.2B |
|---|---|
| Vram | <1 GB |
| Rate | 32 Hz |
| Libero avg | 97.7% |
What is it?
TurboVLA is an open-source vision-language-action model for robot manipulation from Huazhong University of Science and Technology and Huawei. The 0.2B-parameter policy runs at 32 Hz on a single RTX 4090 in under 1 GB of VRAM, and posts 97.7% average success on the LIBERO benchmark.
How does it work?
Most VLAs route the camera through a large language model before predicting an action (V→L→A). TurboVLA drops that path and encodes vision and language in parallel, exchanges information through a lightweight bidirectional cross-attention block, and predicts action chunks with a compact decoder. Inference is 31.2 ms per step, so the loop keeps up with a 30 Hz control rate on a consumer GPU.
Why does it matter?
Real-time robot control usually needs a workstation-grade GPU or a distilled policy. TurboVLA runs the full policy in real time on a laptop-class card with room to spare, which lowers the bar for hobbyist and university robotics groups that already have a 40-series GPU. The paper also reports 60.2% on RoboTwin 2.0 bimanual tasks.
Who is it for?
Robotics researchers and hobbyists running LIBERO / RoboTwin on a single RTX-40 GPU.
Try it
git clone https://github.com/H-EmbodVis/TurboVLA