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apu-memory-tuner
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Help the user inspect and tune the shared-vs-dedicated memory split on AMD Ryzen APUs with unified memory architecture (UMA). The user states intent ("I want to run a 70B model", "I just want my games to be smooth"); this skill picks the numbers, explains the trade-offs, and applies the change where it can.
On a UMA APU (Strix Halo, Strix Point, Krackan, Phoenix, Hawk Point, etc.) the CPU and integrated Radeon share one physical pool of DRAM. There is no separate VRAM chip. Two logical knobs cut that pool up:
| Knob | Where set | What it does | Reversible? |
|---|---|---|---|
| Dedicated VRAM (a.k.a. UMA Frame Buffer / carve-out / GART) | BIOS, requires reboot | Permanently reserves DRAM for the GPU. CPU can't see it. | Only via BIOS. |
| Shared GPU memory (a.k.a. GTT) | Kernel/driver-managed | Dynamic, OS-reclaimable cap on how much system RAM the GPU may map at a time. | Yes; Linux: amd-ttm. Windows: no user knob. |
Key insight the rest of this skill rests on: "VRAM" and shared RAM run at the same speed on UMA, because they're the same DRAM. So the right default for AI workloads is small VRAM + large GTT, not the other way around.
Use this skill when the user wants to:
Do not use it for: discrete Radeon cards (no GTT/UMA on those), Apple Silicon (different architecture entirely), or NVIDIA/Intel GPUs.
State these to the user up front so a missing one doesn't surface as a mystery script error halfway through:
gfx1150 / gfx1151 / gfx1152); RDNA3 / RDNA2 APUs work
but with conservative profile numbers.amd-ttm path) or Windows (guided BIOS path).
macOS is not supported.reference.md.
The detection script enforces a conservative floor (mainline 6.18.4 /
Ubuntu HWE 6.17.0 / Ubuntu OEM 6.14.0).pipx install amd-debug-tools for the amd-ttm CLI.
The skill prints this command but never installs it silently. Reading
the BIOS carve-out from dmesg typically requires sudo.Silent footguns to surface when relevant:
HSA_OVERRIDE_GFX_VERSION — users running ROCm/PyTorch on an APU often
set this to convince ROCm the iGPU is a supported target. It does not
affect memory tuning, but if the user reports HIP error: invalid device after raising GTT, this env var is usually the cause, not the
GTT change.Win32_VideoController.AdapterRAM is a 32-bit field capped at
4 GiB. If the user's reported "dedicated VRAM" is exactly 4096 MB, that's
the WDDM truncation, not the real BIOS reservation. The real value lives
in Task Manager > Performance > GPU.Run these in order. Each one is read-only until step 4.
[ ] 1. Detect platform and support level
[ ] 2. Show current configuration
[ ] 3. Pick a profile from the user's intent
[ ] 4. Apply (Linux) or print BIOS guidance (Windows); verify after reboot
python scripts/detect_platform.py
Add --json for parseable output. Exit codes:
| Exit | Meaning | Next action |
|---|---|---|
| 0 | Supported AMD APU. | Continue to Step 2. |
| 2 | Wrong hardware (not an AMD APU, or unclassifiable). | Stop. Tell the user this skill can't help them. |
| 3 | AMD APU but a hard prerequisite is missing (Linux kernel too old). | Stop. Tell the user the prereq and stop. Do not attempt to upgrade the kernel from this skill. |
The script reports the OS, CPU, GPU LLVM target (e.g. gfx1151), the
generation bucket (RDNA3.5 / RDNA3 / RDNA2 / older), total RAM, and on
Linux the kernel version vs. the minimums in the AMD doc.
python scripts/show_config.py
Reports current dedicated VRAM, current shared-GPU cap, total RAM, and on
Linux the raw pages_limit value plus a rocminfo sanity-check of what
the runtime actually sees. Note any messages it prints — Linux often needs
sudo for the dmesg read of the BIOS carve-out, and Windows' AdapterRAM
field is capped at 4 GiB by WDDM (real value lives in Task Manager).
Ask the user what they want, in workload terms, not numbers. Map their answer to one of these:
| Profile | What it does | Use when the user says... |
|---|---|---|
large-models (default) | GTT to ~75% of RAM, BIOS VRAM at the floor (0.5 GB). | "Run a big model", "fit Llama 70B", "I keep getting OOM on the iGPU", "give the GPU as much memory as possible". |
balanced | GTT at the kernel default (~50%), 1 GB BIOS VRAM. | "I just do mixed dev work", "back to defaults", "don't waste RAM on the GPU". |
graphics | GTT at default; BIOS VRAM raised to the larger of 8 GB or 25% of RAM. | "I'm gaming", "I want a predictable framebuffer", "stuttering in games". |
reset | Revert all changes this skill made. | "Undo it", "go back to stock". |
custom | Use the explicit --gtt-gb / --vram-gb the user passed. | "I want exactly N GB". |
Default: if the user is here at all and didn't specify, they almost
always want large-models -- that's the only profile that meaningfully
changes the experience for the workload that brought them here (running a
model that didn't fit). Use it unless they explicitly said gaming, said
they want defaults, or said an exact number.
If you still can't tell, use the AskQuestion tool with the five options
above labeled in plain English; do not invent a sixth.
python scripts/apply_profile.py --profile <choice>
Add --dry-run first if the user wants to see the planned change before
committing.
What happens on each OS:
amd-ttm --set <N> (which persists
to /etc/modprobe.d/ttm.conf). Reboot is required; the script tells the
user but never reboots automatically. If amd-ttm is missing, the script
exits with a clear install hint (pipx install amd-debug-tools) — do not
install it yourself without confirming with the user.Then re-run python scripts/show_config.py after reboot to verify.
| Capability | Linux | Windows |
|---|---|---|
| Inspect dedicated VRAM | Yes (dmesg/journalctl, may need sudo) | Yes (Task Manager / dxdiag; AdapterRAM is truncated) |
| Inspect shared cap | Yes (/sys/module/ttm/parameters/pages_limit) | Yes (dxdiag "Shared Memory") |
| Change shared cap automatically | Yes (amd-ttm) | No — WDDM-managed, not user-tunable |
| Change dedicated VRAM automatically | No (BIOS only) | No (BIOS only; VGM via Adrenalin is the closest UI) |
Net effect: on Windows, raising the BIOS UMA Frame Buffer Size is the only real way to give the GPU more memory. On Linux you almost always want to lower BIOS VRAM and raise GTT instead.
amd-debug-tools. Print the pipx install line
and ask before running it.show_config.py.Mark this skill complete only when all are true:
python scripts/detect_platform.py exits 0.python scripts/show_config.py reports the new values after the
reboot following Step 4.cat /sys/module/ttm/parameters/pages_limit matches what
apply_profile.py reported.If any box is unchecked the change either didn't take effect or the user hasn't validated it yet — say so out loud rather than declaring success.
For the full glossary, the link to AMD's authoritative kernel-version / ROCm-compatibility matrix, per-OEM BIOS notes, profile math, and troubleshooting, see reference.md.
name: apu-memory-tuner description: >- Inspects and tunes the shared-vs-dedicated memory split on AMD Ryzen APUs with unified memory (UMA) so larger LLMs and image-gen models fit on the iGPU, or so reserved GPU memory is returned to the CPU. Use when the user mentions Ryzen AI, Strix Halo / Strix Point / Krackan / Phoenix / Hawk Point, Ryzen AI Max, gfx1150 / gfx1151 / gfx1152, integrated Radeon, iGPU memory, UMA Frame Buffer Size, AMD Variable Graphics Memory, VGM, GTT, GART, TTM, pages_limit, amd-ttm, amd-debug-tools, "shared GPU memory", "dedicated GPU memory", carve-out, "not enough VRAM", "out of VRAM", "GPU OOM", llama.cpp on iGPU, ROCm on APU; or asks how much memory the iGPU can use, how to give the iGPU more memory, how to balance memory between CPU and GPU on UMA, or how to change the BIOS UMA reservation. Read-only diagnostics work everywhere; tuning runs automatically on Linux via `amd-ttm` and prints guided BIOS steps on Windows. Do not use for discrete Radeon cards, Intel iGPUs, or Apple Silicon -- it is APU-only.
---
name: apu-memory-tuner
description: >-
Inspects and tunes the shared-vs-dedicated memory split on AMD Ryzen APUs
with unified memory (UMA) so larger LLMs and image-gen models fit on the
iGPU, or so reserved GPU memory is returned to the CPU. Use when the user
mentions Ryzen AI, Strix Halo / Strix Point / Krackan / Phoenix / Hawk
Point, Ryzen AI Max, gfx1150 / gfx1151 / gfx1152, integrated Radeon, iGPU
memory, UMA Frame Buffer Size, AMD Variable Graphics Memory, VGM, GTT,
GART, TTM, pages_limit, amd-ttm, amd-debug-tools, "shared GPU memory",
"dedicated GPU memory", carve-out, "not enough VRAM", "out of VRAM",
"GPU OOM", llama.cpp on iGPU, ROCm on APU; or asks how much memory the
iGPU can use, how to give the iGPU more memory, how to balance memory
between CPU and GPU on UMA, or how to change the BIOS UMA reservation.
Read-only diagnostics work everywhere; tuning runs automatically on Linux
via `amd-ttm` and prints guided BIOS steps on Windows. Do not use for
discrete Radeon cards, Intel iGPUs, or Apple Silicon -- it is APU-only.
---
# APU Memory Tuner
Help the user inspect and tune the shared-vs-dedicated memory split on AMD
Ryzen APUs with unified memory architecture (UMA). The user states intent
("I want to run a 70B model", "I just want my games to be smooth"); this
skill picks the numbers, explains the trade-offs, and applies the change
where it can.
## What's actually going on
On a UMA APU (Strix Halo, Strix Point, Krackan, Phoenix, Hawk Point, etc.)
the CPU and integrated Radeon share **one physical pool of DRAM**. There is
no separate VRAM chip. Two logical knobs cut that pool up:
| Knob | Where set | What it does | Reversible? |
|---|---|---|---|
| **Dedicated VRAM** (a.k.a. UMA Frame Buffer / carve-out / GART) | BIOS, requires reboot | Permanently reserves DRAM for the GPU. CPU can't see it. | Only via BIOS. |
| **Shared GPU memory** (a.k.a. GTT) | Kernel/driver-managed | Dynamic, OS-reclaimable cap on how much system RAM the GPU may map at a time. | Yes; Linux: `amd-ttm`. Windows: no user knob. |
Key insight the rest of this skill rests on: **"VRAM" and shared RAM run at
the same speed on UMA**, because they're the same DRAM. So the right default
for AI workloads is small VRAM + large GTT, not the other way around.
## When to use
Use this skill when the user wants to:
- Run a model that doesn't fit ("out of VRAM", "GPU OOM" on an iGPU).
- Inspect the current memory split before changing anything.
- Move the slider toward more shared memory (LLMs, large image gen) or
toward more dedicated VRAM (gaming, predictable framebuffer).
- Revert any prior changes.
Do not use it for: discrete Radeon cards (no GTT/UMA on those), Apple
Silicon (different architecture entirely), or NVIDIA/Intel GPUs.
## Prerequisites
State these to the user up front so a missing one doesn't surface as a
mystery script error halfway through:
- **GPU architecture**: AMD APU with integrated Radeon. Officially tuned
for RDNA3.5 (`gfx1150` / `gfx1151` / `gfx1152`); RDNA3 / RDNA2 APUs work
but with conservative profile numbers.
- **OS**: Linux (kernel + `amd-ttm` path) or Windows (guided BIOS path).
macOS is not supported.
- **Linux kernel**: see the live AMD matrix linked from `reference.md`.
The detection script enforces a conservative floor (mainline 6.18.4 /
Ubuntu HWE 6.17.0 / Ubuntu OEM 6.14.0).
- **Linux extras**: `pipx install amd-debug-tools` for the `amd-ttm` CLI.
The skill prints this command but never installs it silently. Reading
the BIOS carve-out from `dmesg` typically requires `sudo`.
- **Windows extras**: AMD Adrenalin Software 25.x or newer if the user
wants the Variable Graphics Memory slider as an alternative to BIOS.
- **Reboot tolerance**: any tuning change requires a reboot. Don't propose
this skill mid-workload.
Silent footguns to surface when relevant:
- `HSA_OVERRIDE_GFX_VERSION` — users running ROCm/PyTorch on an APU often
set this to convince ROCm the iGPU is a supported target. It does not
affect memory tuning, but if the user reports `HIP error: invalid
device` after raising GTT, this env var is usually the cause, not the
GTT change.
- Windows `Win32_VideoController.AdapterRAM` is a 32-bit field capped at
4 GiB. If the user's reported "dedicated VRAM" is exactly 4096 MB, that's
the WDDM truncation, not the real BIOS reservation. The real value lives
in Task Manager > Performance > GPU.
## The four-step flow
Run these in order. Each one is read-only until step 4.
```
[ ] 1. Detect platform and support level
[ ] 2. Show current configuration
[ ] 3. Pick a profile from the user's intent
[ ] 4. Apply (Linux) or print BIOS guidance (Windows); verify after reboot
```
### Step 1: detect platform
```bash
python scripts/detect_platform.py
```
Add `--json` for parseable output. Exit codes:
| Exit | Meaning | Next action |
|---|---|---|
| 0 | Supported AMD APU. | Continue to Step 2. |
| 2 | Wrong hardware (not an AMD APU, or unclassifiable). | Stop. Tell the user this skill can't help them. |
| 3 | AMD APU but a hard prerequisite is missing (Linux kernel too old). | Stop. Tell the user the prereq and stop. Do not attempt to upgrade the kernel from this skill. |
The script reports the OS, CPU, GPU LLVM target (e.g. `gfx1151`), the
generation bucket (RDNA3.5 / RDNA3 / RDNA2 / older), total RAM, and on
Linux the kernel version vs. the minimums in the AMD doc.
### Step 2: show current configuration
```bash
python scripts/show_config.py
```
Reports current dedicated VRAM, current shared-GPU cap, total RAM, and on
Linux the raw `pages_limit` value plus a `rocminfo` sanity-check of what
the runtime actually sees. Note any messages it prints — Linux often needs
`sudo` for the dmesg read of the BIOS carve-out, and Windows' `AdapterRAM`
field is capped at 4 GiB by WDDM (real value lives in Task Manager).
### Step 3: pick a profile
Ask the user what they want, in workload terms, not numbers. Map their
answer to one of these:
| Profile | What it does | Use when the user says... |
|---|---|---|
| `large-models` **(default)** | GTT to ~75% of RAM, BIOS VRAM at the floor (0.5 GB). | "Run a big model", "fit Llama 70B", "I keep getting OOM on the iGPU", "give the GPU as much memory as possible". |
| `balanced` | GTT at the kernel default (~50%), 1 GB BIOS VRAM. | "I just do mixed dev work", "back to defaults", "don't waste RAM on the GPU". |
| `graphics` | GTT at default; BIOS VRAM raised to the larger of 8 GB or 25% of RAM. | "I'm gaming", "I want a predictable framebuffer", "stuttering in games". |
| `reset` | Revert all changes this skill made. | "Undo it", "go back to stock". |
| `custom` | Use the explicit `--gtt-gb` / `--vram-gb` the user passed. | "I want exactly N GB". |
**Default**: if the user is here at all and didn't specify, they almost
always want `large-models` -- that's the only profile that meaningfully
changes the experience for the workload that brought them here (running a
model that didn't fit). Use it unless they explicitly said gaming, said
they want defaults, or said an exact number.
If you still can't tell, use the `AskQuestion` tool with the five options
above labeled in plain English; do not invent a sixth.
### Step 4: apply or guide
```bash
python scripts/apply_profile.py --profile <choice>
```
Add `--dry-run` first if the user wants to see the planned change before
committing.
What happens on each OS:
- **Linux**: writes the new GTT cap via `amd-ttm --set <N>` (which persists
to `/etc/modprobe.d/ttm.conf`). Reboot is required; the script tells the
user but never reboots automatically. If `amd-ttm` is missing, the script
exits with a clear install hint (`pipx install amd-debug-tools`) — do not
install it yourself without confirming with the user.
- **Windows**: prints step-by-step BIOS instructions for the UMA Frame
Buffer Size, plus a note about AMD Adrenalin's "Variable Graphics Memory"
slider as an alternative on supported laptops. Nothing is written to disk
or registry. The script never modifies BIOS for the user.
Then re-run `python scripts/show_config.py` after reboot to verify.
## OS-specific reality check
| Capability | Linux | Windows |
|---|---|---|
| Inspect dedicated VRAM | Yes (`dmesg`/`journalctl`, may need sudo) | Yes (Task Manager / dxdiag; AdapterRAM is truncated) |
| Inspect shared cap | Yes (`/sys/module/ttm/parameters/pages_limit`) | Yes (dxdiag "Shared Memory") |
| Change shared cap automatically | Yes (`amd-ttm`) | **No** — WDDM-managed, not user-tunable |
| Change dedicated VRAM automatically | No (BIOS only) | No (BIOS only; VGM via Adrenalin is the closest UI) |
Net effect: on Windows, raising the BIOS UMA Frame Buffer Size is the only
real way to give the GPU more memory. On Linux you almost always want to
*lower* BIOS VRAM and raise GTT instead.
## Safety rules
- Never auto-reboot. Always tell the user the reboot is needed and let them
do it.
- Never touch BIOS programmatically. The script prints instructions; the
user navigates the firmware menu.
- Never silently install `amd-debug-tools`. Print the `pipx install` line
and ask before running it.
- Never set a profile whose validation fails. The script refuses GTT
targets above 95% of RAM or VRAM targets above 50% of RAM.
- Never claim a change took effect before the user has rebooted and
re-verified with `show_config.py`.
## Verification checklist
Mark this skill complete only when **all** are true:
- [ ] `python scripts/detect_platform.py` exits 0.
- [ ] `python scripts/show_config.py` reports the *new* values after the
reboot following Step 4.
- [ ] The user has tried the workload that motivated the change (loaded
the model, launched the game) and confirmed the new headroom helps.
- [ ] On Linux, `cat /sys/module/ttm/parameters/pages_limit` matches what
`apply_profile.py` reported.
If any box is unchecked the change either didn't take effect or the user
hasn't validated it yet — say so out loud rather than declaring success.
## Reference
For the full glossary, the link to AMD's authoritative kernel-version /
ROCm-compatibility matrix, per-OEM BIOS notes, profile math, and
troubleshooting, see [reference.md](reference.md).
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
72/100
Strong
Trust
65/100
Sandbox only
Audit
80/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"score": 80,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 332 stars, 30 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
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"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 72,
"label": "Strong"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Coding agents",
"maintenance": "3d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No OpenAgentSkill engagement data yet",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Financial research output is not financial advice; require human review before any live investment decision."
],
"agent_contract": {
"task_input": "Use apu-memory-tuner in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 73/100 Strong shortlist",
"Audit: 80/100 Needs review",
"Safety: 44/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "amd-apu-memory-tuner (apu-memory-tuner)",
"install_command": "npx skills add amd/skills --skill apu-memory-tuner",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "amd-apu-memory-tuner",
"task": "Use apu-memory-tuner in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/amd-apu-memory-tuner",
"api": "https://www.openagentskill.com/api/agent/skills/amd-apu-memory-tuner",
"audit": "https://www.openagentskill.com/skills/amd-apu-memory-tuner/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=amd-apu-memory-tuner&task=Use%20apu-memory-tuner%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20apu-memory-tuner%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20apu-memory-tuner%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/amd-apu-memory-tuner/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/amd-apu-memory-tuner"
}
}Listing source
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