gpu-optimizer SKILL.md skillA

gpu-optimizer from mathews-tom/armory is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mathews-tom/armory/gpu-optimizer@v1.1.1

Pins v1.1.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mathews-tom/armory
Path
skills/gpu-optimizer/SKILL.md
Versions recorded
5
Latest version
v1.1.1, committed Apr 11, 2026
First version recorded
Mar 26, 2026
Size
14,008 bytes
Repository stars
334
License
MIT

GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. Triggers on: "optimize GPU training", "speed up CUDA", "reduce OOM", "migrate NumPy to CuPy", "manage GPU memory", "benchmark PyTorch".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# GPU Optimizer

Expert GPU optimization for consumer GPUs with 8–24GB VRAM. Evidence-based patterns only.

## Hardware Profile

Fill in your hardware before applying optimizations:

| Property          | Your Value                                       |
| ----------------- | ------------------------------------------------ |
| GPU model         | (e.g., RTX 4080 Mobile, RTX 3090, RTX 4090)      |
| VRAM              | (e.g., 12GB, 16GB, 24GB)                         |
| CUDA version      | (`nvidia-smi` → top-right)                       |
| TDP / power limit | (laptop vs desktop affects sustained throughput) |
| Driver version    | (`nvidia-smi` → top-left)                        |

Key constraint: VRAM capacity determines which strategies apply. Patterns below are annotated with minimum VRAM requirements where relevant.

## Optimization Categories

### 1. XGBoost GPU Acceleration

**DMatrix vs QuantileDMatrix:**

```python
# GPU-optimized: QuantileDMatrix is 1.8x faster
dtrain = xgb.QuantileDMatrix(X_train.astype(np.float32))
dval = xgb.QuantileDMatrix(X_val.astype(np.float32))

# Standard: DMatrix (use for inference only)
dtest = xgb.DMatrix(X_test.astype(np.float32))
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mathews-tom/armory/gpu-optimizer@sha256:8ddd111b6b0be8d0

The line at the top of this page pins the label v1.1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3zkxg6jn25jx4idp.svg)](https://markdownregistry.com/a/art_3zkxg6jn25jx4idp)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 26, 2026 and Apr 11, 2026, about one every 4 days.

versioncommittedcommitsizeaudit
v1.1.1 latest2026-04-11 0aa221a 14,008 BA view · diff
v1.1.12026-04-09 1cc63e5 14,210 BB view · diff
v1.1.12026-04-07 b03849d 14,195 BB view · diff
v1.1.02026-03-27 d46cf2e 14,195 BB view · diff
v1.1.02026-03-26 6fe71e6 14,192 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14008 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

mathews-tom/armory · 334 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3zkxg6jn25jx4idp
GET https://markdownregistry.com/api/v1/resolve?ref=mathews-tom/armory/gpu-optimizer
GET https://markdownregistry.com/api/v1/blob/8ddd111b6b0be8d0f1003d1308ea3db627fac6457417326918943c0221391f22

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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