jetson-optimize-memory
SkillWeb & browsingLets your agent free up RAM on an NVIDIA Jetson board by turning off unused display and camera subsystems.
Then ask your AI: use the jetson-optimize-memory skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this skill
Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.
What this skill tells your AI
The instructions your AI receives, as published by nvidia/skills in skills/jetson-optimize-memory/SKILL.md and read by Ahel’s review.
Memory is reserved across four layers ordered by boot chronology (higher row = earlier in boot, closer to hardware):
| Layer | Content | Key files |
|---|---|---|
| MB1 BCT | firmware carveouts | per-module misc DTS |
| MB2 BCT | firmware loading + AST controls | per-module misc DTS |
| Kernel DTS | reserved-memory and driver binding | per-module DTS |
| SWIOTLB | DMA bounce pool size | <module>.conf.common (CMDLINE_ADD) |
Critical rules:
- Only the scenarios in Scenario recipes are validated. Refuse any request to disable a carveout/cluster/node not in that table.
- Zeroing a carveout requires both: disabling the cluster's loading controls AND removing the AST that references it.
- Emit explicit overrides for every cluster in the recipe, regardless
of how the source
#ifdef/#elselooks. Verify the merged binary. - GPU SW stack must match the chip: T234 -> nvgpu, T264 and later
-> OpenRM. Follow the shared derived-platform rule in
target-platform-contract.md; stop on mismatches instead of guessing. - Do not set SWIOTLB to 0 — some peripherals can't use the IOMMU.
Scenario recipes
| Keyword | MB1 BCT carveouts | MB2 BCT | Kernel DTS |
|---|---|---|---|
headless | DCE-family (see chip table) | DCE auxp_controls + DCE AST(s) | display@<addr> (and dce@<addr> if exposed) → disabled |
no-camera | RCE/VI/ISP-family | RCE auxp_controls (each instance) + RCE AST(s) | recommended: VI/ISP/NVCSI → disabled |
Chip-specific carveouts
| Scenario | T234 (Orin) | T264 (Thor) |
|---|---|---|
headless | CARVEOUT_BPMP_DCE, CARVEOUT_DCE, CARVEOUT_DCE_TSEC, CARVEOUT_TSEC_DCE, CARVEOUT_DISP_EARLY_BOOT_FB | CARVEOUT_DCE, CARVEOUT_TSEC_DCE, CARVEOUT_HPSE_DCE, CARVEOUT_DISP_EARLY_BOOT_FB |
no-camera | CARVEOUT_RCE, CARVEOUT_CAMERA_TASKLIST | CARVEOUT_RCE, CARVEOUT_RCE1, CARVEOUT_RCE_RW, CARVEOUT_VI_TASKLIST, CARVEOUT_VI1_TASKLIST, CARVEOUT_ISP_TASKLIST, CARVEOUT_ISP1_TASKLIST |
Post-boot:
headless→sudo systemctl set-default multi-user.target.
MB1 BCT carveout overrides
File: Linux_for_Tegra/bootloader/generic/BCT/tegra<chip>-mb1-bct-misc-<module>.dts
(e.g. tegra234-mb1-bct-misc-p3767-0000.dts for Orin Nano,
tegra264-mb1-bct-misc-p3834-0008-p4071-0000.dts for Thor).
For each carveout, add inside the existing carveout node:
aux_info@<CARVEOUT_NAME> {
pref_base = <0x0 0x0>;
size = <0x0 0x0>;
alignment = <0x0 0x0>;
};
MB2 BCT cluster + AST overrides
File: Linux_for_Tegra/bootloader/generic/BCT/tegra<chip>-mb2-bct-misc-<module>.dts
(includes tegra<chip>-mb2-bct-common.dtsi).
For each target cluster:
- Override
auxp_controls@<index>:auxp_controls@<index> { enable_init = <0>; enable_fw_load = <0>; enable_unhalt = <0>; }; /delete-node/ auxp_ast_config@<idx>;
Look up indices in common.dtsi: auxp_controls@N carries a comment
naming its cluster; auxp_ast_config@N has ast_region children whose
carveout = <CARVEOUT_…>; lines identify the owner.
Kernel DT reserved-memory
DTB=Linux_for_Tegra/kernel/dtb/<platform-dtb-name>.dtb
dtc -I dtb -O dts -o /tmp/platform.dts $DTB
# edit: status = "disabled" on target nodes
dtc -I dts -O dtb -o $DTB /tmp/platform.dts
Display — disable display@<addr>, plus dce@<addr> if exposed as
a separate kernel node.
Camera — under host1x@<addr>, disable whichever of vi* / isp*
/ nvcsi exist on the BSP (only emit present nodes):
Locate the display controller node in the decompiled DTS and disable it.
The node's unit address is chip-specific — find it by compatible string
(e.g. nvidia,tegra234-display) rather than hard-coding the address.
host1x@<addr> {
vi0@<addr> { status = "disabled"; };
vi1@<addr> { status = "disabled"; };
isp@<addr> { status = "disabled"; };
isp1@<addr> { status = "disabled"; };
nvcsi@<addr> { status = "disabled"; };
};
SWIOTLB DMA bounce pool
The NVIDIA IOMMU covers peripheral DMA, so SWIOTLB is rarely used.
Edit CMDLINE_ADD (never CMDLINE) in Linux_for_Tegra/<module>.conf.common:
# Total bytes = swiotlb_value × 2048; 4 MiB pool:
CMDLINE_ADD="... swiotlb=2048"
Override verification (mandatory)
After every patched MB1/MB2 BCT .dts, reproduce the BSP's compile +
decompile using the same -D… flags from bct_flags.append(...) in
bootloader/tegraflash_impl_t<chip>.py:
gcc -E -nostdinc -x assembler-with-cpp \
-DENABLE_<FLAG_1> -DENABLE_<FLAG_2> \
-I bootloader -I bootloader/generic/BCT \
-o /tmp/cpp.dts <patched-bct.dts>
dtc -q -I dts -O dtb -o /tmp/cpp.dtb /tmp/cpp.dts
dtc -q -I dtb -O dts /tmp/cpp.dtb | less
Confirm in the merged output:
- Each zeroed
aux_info@<NAME>(oraux_info@<id>Upost macro expansion) hassize = <0x0 0x0>andpref_base = <0x0 0x0>. - Each disabled
auxp_controls@<idx>has all threeenable_*fields<0>. - Each
/delete-node/'dauxp_ast_config@<idx>is absent.
Verification (on booted target)
sudo cat /proc/iomem | grep -iE 'nv-reserved|cma|fb|carveout'
ls /proc/device-tree/reserved-memory/
dmesg | grep -iE 'firmware|carveout|bpmp|reserved|fail|error' | head -20
free -m
| Scenario | Sysfs | dmesg grep |
|---|---|---|
| Display off | ls /sys/class/drm/ (empty) | tegra-drm|nvdisplay|dce|host1x|fb0 |
| Camera off | ls /dev/video* 2>/dev/null (none) | rce|nvcsi|tegra-camera|vi0|vi1|isp |
| SWIOTLB shrink | cat /sys/kernel/debug/swiotlb/io_tlb_nslabs matches cmdline | swiotlb |
For SWIOTLB: /proc/cmdline must contain swiotlb=<value>, and
watch -n5 cat /sys/kernel/debug/swiotlb/io_tlb_used must stay under
io_tlb_nslabs during full workload — if exceeded, restore original
CMDLINE_ADD and re-flash kernel-dtb.
Purpose
Cut the unused DRAM carveouts that ship enabled in the reference BSP when a Jetson deployment skips display, camera, or other peripherals, freeing the freed bytes for the application. Always edits the four layers in boot order so an early-stage carveout never outranks a later-stage shrink.
Prerequisites
- Active target profile resolved per
../../context/target-platform-contract.md. - BSP image extracted and source tree initialized
(
/jetson-init-image,/jetson-init-sourcecomplete). - For headless / no-camera recipes: confirm the workload truly does not need display or camera.
Limitations
- Only the validated recipes (
headless,no-camera,swiotlb) are exposed; ad-hoc subsystem disables outside the recipe set are refused. - SWIOTLB shrink is bounded by peak in-flight DMA — exceeding the new
io_tlb_nslabsrequires reverting the change. - BPMP-DTB edits land in the overlay tracker only after Customize + Build + Deploy run; this skill does not flash on its own.
Troubleshooting
- Boot fails after MB1 BCT carveout disable — restore the pristine misc DTS and re-flash; the missing carveout is mandatory for the active SoC.
io_tlb_usedexceedsio_tlb_nslabs— revertswiotlb=inCMDLINE_ADDand re-flash the kernel DTB partition.- Reclaimed delta smaller than expected — verify the recipe truly
matched the deployment (e.g. display still attached); use the
dmesg | grep -iE 'firmware|carveout'check in this file to confirm. - Validation
dmesgshows the disabled subsystem still probing — the change probably did not promote through tobsp_image; re-run/jetson-promote-image.
Signals
- GitHub stars
- 4k
- Forks
- 434
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
jetson-optimize-memory- Source
- github.com/nvidia/skills
Related picks
Skill · davila7
The pick for C / C++browser-use
Skill · browser-use
More in Web & browsingwebapp-testing
Skill · anthropics
More in Web & browsingbenchmark
Skill · affaan-m
More in Web & browsingdeploy-to-vercel
Skill · vercel-labs
More in Web & browsingazure-resource-lookup
Skill · microsoft
More in Web & browsing