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jetson-optimize-memory

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.

Install / Use

npx skills add NVIDIA/skills --skill jetson-optimize-memory

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

94/100

Category

Operations

Supported Platforms

Universal

Tags

Our assessment of jetson-optimize-memory

jetson-optimize-memory scores 94/100 on our quality scale, 107th of 487 Operations skills we index (top 22%).

Its SKILL.md is 7.9 KB long, well organised into 15 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so jetson-optimize-memory is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

jetson-optimize-memory compared with similar skills

All 4 of these similar skills score higher than jetson-optimize-memory; compare them before choosing.

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Frequently asked questions

How do I install jetson-optimize-memory?
Run npx skills add NVIDIA/skills --skill jetson-optimize-memory. The install tabs above show the steps for each supported agent.
Which AI agents does jetson-optimize-memory work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is jetson-optimize-memory safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is jetson-optimize-memory still maintained?
The repository was last updated 5 days ago, so jetson-optimize-memory is actively maintained.

name: jetson-optimize-memory description: >- 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.

version: 0.0.1 license: "Apache-2.0" argument-hint: "headless | no-camera | swiotlb" metadata: data-classification: public author: "Jetson Team" tags: - memory - dram - carveout - swiotlb domain: memory

jetson-optimize-memory

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/#else looks. 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:

  1. Override auxp_controls@<index>:
    auxp_controls@<index> {
        enable_init    = <0>;
        enable_fw_load = <0>;
        enable_unhalt  = <0>;
    };
    
  2. /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> (or aux_info@<id>U post macro expansion) has size = <0x0 0x0> and pref_base = <0x0 0x0>.
  • Each disabled auxp_controls@<idx> has all three enable_* fields <0>.
  • Each /delete-node/'d auxp_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-source complete).
  • 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_nslabs requires 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_used exceeds io_tlb_nslabs — revert swiotlb= in CMDLINE_ADD and 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 dmesg shows the disabled subsystem still probing — the change probably did not promote through to bsp_image; re-run /jetson-promote-image.

Related Skills

View on GitHub
GitHub Stars3.4k
CategoryOperations
Updated5d ago
Forks412

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions