Brain
XPENG's mass-produced billion-parameter-scale foundation model for physical AI. Uses a novel 'Vision-Implicit Token-Action' path that eliminates the language translation step, achieving end-to-end direct generation from visual signals to action commands. First in industry to deploy billion-parameter model on-vehicle (2250 TOPS via Turing AI chip).
Cross-domain: simultaneously drives AI cars, IRON humanoid robot, and flying cars. Trained on ~100M real driving video clips without annotation. Rolled out to XPENG Ultra models Q1 2026.
Foundation model · Maturity: Production · Closed
Machine-readable surfaces
- Markdown mirror: /brains/xpeng-vla-2.md
- RSS feed: /brains/xpeng-vla-2/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/61c27e6d-6315-44b9-9ebf-128b8c6a68de
- Revision history: /brains/xpeng-vla-2/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Architecture
Vision-Implicit Token-Action (V-I-A), 72B cloud base + billion-parameter on-vehicle, Turing AI chip 2250 TOPS
Developed by (1)
Common questions
What is XPENG VLA 2.0?
Who developed XPENG VLA 2.0?
Is XPENG VLA 2.0 open source?
What type of AI is XPENG VLA 2.0?
What is XPENG VLA 2.0's maturity stage?
Which robots run on XPENG VLA 2.0?
Methodology: Claimed (not independently verified) · no sources on file · last reviewed 2026-08-23
Verification posture
Claimed (not independently verified)
Low confidence
Review state
Stable
Last reviewed 2026-08-23
Maturity + lifecycle
Maturity stage: production
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for XPENG VLA 2.0.Canonical ID 61c27e6d-6315-44b9-9ebf-128b8c6a68de