What can I run on Jetson Orin NX 16GB?
16 GB unified memoryAmpere (1024 CUDA cores, 32 Tensor Cores)157 TOPS (with JetPack 6.2 Super mode)10W - 15W - 25W - 40WView matrix for this target →
Module (needs a carrier board). 157 TOPS and the 40W mode require the JetPack 6.2+ Super modes (MAXN_SUPER, flashed with the jetson-orin-nano-devkit-super configuration); older JetPack releases cap at 25W/MAXN. Record power mode and JetPack version with every run. 16 GB is unified memory shared with the OS.
Policy by policy
| Policy | Params | Inference memory (sourced, with precision) | On Jetson Orin NX 16GB | Best measured |
|---|---|---|---|---|
| LingBot-VA World model | 5.3B | ≥18 GB | T4 inferred · exceeds memory | needs ≥18 GB |
| ACT Imitation | 80M | 211 MB measured fp32 | no data | |
| Diffusion Policy Imitation | — | 1.12 GB measured fp32 | no data | |
| EO-1 VLA | 3B | ≥6.5 GB | no data | |
| Evo-1 VLA | 770M | — | no data | |
| Fast-WAM World model | 6B | — | no data | |
| GR00T N1.7 VLA | 3B | ≥16 GB | no data | |
| HIL-SERL RL | — | — | no data | |
| MolmoAct2 VLA | — | 12.1 GB measured bf16 | no data | |
| Multitask DiT Imitation | 450M | — | no data | |
| OpenVLA VLA | 7.5B | 15 GB measured bf16 | no data | |
| OpenVLA-OFT VLA | — | ≥16 GB | no data | |
| SmolVLA VLA | 450M | 1.75 GB measured fp32 | no data | |
| TD-MPC RL | — | — | no data | |
| VLA-JEPA VLA | — | — | no data | |
| VQ-BeT Imitation | — | — | no data | |
| WALL-OSS VLA | — | — | no data | |
| X-VLA VLA | 900M | — | no data | |
| π0 VLA | 3.3B | 13.32 GB measured fp32 | no data | |
| π0-FAST VLA | — | ≥8 GB | no data | |
| π0.5 VLA | — | ≥8 GB | no data |
“Exceeds memory” compares a policy's upstream-stated minimum inference memory (never a measured peak, which is precision-specific) with this target's unified (shared CPU/GPU) memory, so the real budget is lower. It is arithmetic, not observation, and is labelled inferred. Quantised or split runtimes can change the answer; a measured run always wins.
All measured runs on Jetson Orin NX 16GB
No measured runs on Jetson Orin NX 16GB yet. A run needs runtime, precision, camera count, JetPack version and power mode. Contribute one.
Sources
- T1 · upstream documentedvendor-docsverified 2026-10-24 (1d ago)
NVIDIA Jetson Orin spec table AI Performance row. Column order on the page: AGX Orin Developer Kit / AGX Orin 64GB (275), AGX Orin Industrial (248), AGX Orin 32GB (241), Orin NX 16GB (157), Orin NX 8GB (117), Orin Nano Super Developer Kit (67), Orin Nano 8GB (67), Orin Nano 4GB (34).
“AI Performance 275 TOPS 248 TOPs 241 TOPS 157 TOPS 117 TOPS 67 TOPS 67 TOPS 34 TOPS”
https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/ - T1 · upstream documentedvendor-docsverified 2026-10-24 (1d ago)
Jetson Orin spec table Memory row (AGX Orin 64GB / Industrial / 32GB, then Orin NX 16GB at 16GB 128-bit LPDDR5).
“64GB 256-bit LPDDR5 (+ ECC) 204.8GB/s 32GB 256-bit LPDDR5 204.8GB/s 16GB 128-bit LPDDR5 102.4GB/s 8GB 128-bit LPDDR5 102.4GB/s”
https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/ - T1 · upstream documentedofficial-docsverified 2026-10-24 (1d ago)jetson_linux 36.4.3
Jetson Linux r36.4.3 power-mode table for Orin NX 16GB and 16GB Super (10W, 15W, 25W, 40W, MAXN/MAXN_SUPER).
“Jetson Orin NX 16GB Jetson Orin NX 16GB Super Property Mode Mode MAXN 10W 15W* 25W MAXN_SUPER 10W 15W 25W 40W*”
https://docs.nvidia.com/jetson/archives/r36.4.3/DeveloperGuide/SD/PlatformPowerAndPerformance/JetsonOrinNanoSeriesJetsonOrinNxSeriesAndJetsonAgxOrinSeries.html - T1 · upstream documentedrelease-notesverified 2026-10-24 (1d ago)
NVIDIA JetPack 6.2 page: JetPack 6.2 (Jetson Linux 36.4.3) introduces the high-power Super modes for Orin Nano and Orin NX production modules.
“JetPack 6.2 supports new high-power Super Mode for NVIDIA Jetson Orin Nano and Jetson Orin NX production modules.”
https://developer.nvidia.com/embedded/jetpack-sdk-62