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MoCore unveils MoWorld 2.0, a 4D world model natively built on Huawei Ascend for embodied AI training and simulation

1 reports1 reporting sourcesUpdated 3 hours ago

Overview

Event synthesis

MoCore launched MoWorld 2.0 at the World Internet Conference, featuring physics-based interaction and real-time rendering up to 70 FPS on domestic Ascend hardware. The system supports robotics training in virtual environments with reduced inference costs compared to GPU solutions.

Generated from attributed reports · Updated 2 hours ago

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Reported quantity · video inference frames per second: 70 other · Basis not reported
Supporting report

“官方表示,MoWorld 2.0 在实时性能上同步升级: 视频推理: 由 1.0 版本最高约 50 帧每秒,提升至约 70 帧每秒; 空间资产渲染: 3D/4D 高斯资产渲染速度可达 500 帧每秒以上; 手机端渲染: 相关测试可达到约 100 帧每秒。”

Exact source · revision 2

ithome

Reported quantity · spatial asset rendering frames per second: 500 other · Basis not reported
Supporting report

“官方表示,MoWorld 2.0 在实时性能上同步升级: 视频推理: 由 1.0 版本最高约 50 帧每秒,提升至约 70 帧每秒; 空间资产渲染: 3D/4D 高斯资产渲染速度可达 500 帧每秒以上; 手机端渲染: 相关测试可达到约 100 帧每秒。”

Exact source · revision 2

ithome

Reported quantity · mobile device rendering frames per second: 100 other · Basis not reported
Supporting report

“官方表示,MoWorld 2.0 在实时性能上同步升级: 视频推理: 由 1.0 版本最高约 50 帧每秒,提升至约 70 帧每秒; 空间资产渲染: 3D/4D 高斯资产渲染速度可达 500 帧每秒以上; 手机端渲染: 相关测试可达到约 100 帧每秒。”

Exact source · revision 2

ithome

Reported quantity · video inference frames per second (previous): 50 other · Basis not reported
Supporting report

“官方表示,MoWorld 2.0 在实时性能上同步升级: 视频推理: 由 1.0 版本最高约 50 帧每秒,提升至约 70 帧每秒; 空间资产渲染: 3D/4D 高斯资产渲染速度可达 500 帧每秒以上; 手机端渲染: 相关测试可达到约 100 帧每秒。”

Exact source · revision 2

ithome

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11/4
  1. IT Home — Robotics
    MoCore unveils MoWorld 2.0, a 4D world model natively built on Huawei Ascend for embodied AI training and simulation

    MoCore launched MoWorld 2.0 at the World Internet Conference, featuring physics-based interaction and real-time rendering up to 70 FPS on domestic Ascend hardware. The system supports robotics training in virtual environments with reduced inference costs compared to GPU solutions.

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