Robot benchmarks slammed as fantasy: real robots can't afford $10k GPUs for VLA models
AIFlow_ML · x · 2026-11-05
- Brian Gerkey (chr1sa) questions robot benchmarks: in real deployments you can't afford a $10k box with an Nvidia 5000-series GPU and 64GB RAM per robot to run large VLA models locally.
- Realistic hardware: deployments would use something like an Orin NX with 16GB, which only runs smaller, less capable models.
- AIFlowML's summary: "Orin-class boxes or the benchmark is fantasy" — a call to benchmark on economically practical hardware instead.
More from Embodied
- NVIDIA launches Isaac Sim tutorial series: from first robot to HIL deployment — lukas_m_ziegler · 2026-11-05
- China blocks SoftBank's $5.4bn takeover of ABB's robotics division — davidyin44 · 2026-11-05
- uni-robot-agent gets Qwen working in sim and on real robots, launching OpenRUA — teortaxesTex · 2026-11-05
- Hackers wire DJI Mini 5 Pro's RC 2 to Viture XR glasses for 146-inch FPV screen — Scobleizer · 2026-11-05
- ODE Policy learns action dynamics, not actions: 5.9x success over flow matching — micoolcho · 2026-11-05
- Investors back Mira Glasses: Harvard duo's camera-free AI glasses transcribe talks in 60+ languages — Scobleizer · 2026-11-05