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gpu

See https://modal.com/pricing for pricing.

  • Skills
  • Scientific
  • 1

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/gpu && curl -fsSL https://doutorai.pt/data/lib/skills__gpu.md -o .claude/skills/gpu/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# GPU Acceleration on Modal

## Quick Start

Run functions on GPUs with the `gpu` parameter:

```python
import modal

image = modal.Image.debian_slim().pip_install("torch")
app = modal.App(image=image)

@app.function(gpu="A100")
def run():
    import torch
    assert torch.cuda.is_available()
```

## Available GPU Types

Modal supports the following GPUs:

- `T4` - Entry-level GPU
- `L4` - Balanced performance and cost
- `A10` - Up to 4 GPUs, 96 GB total
- `A100` - 40GB or 80GB variants
- `A100-40GB` - Specific 40GB variant
- `A100-80GB` - Specific 80GB variant
- `L40S` - 48 GB, excellent for 

- 🔒 Full content on the Pro plan (€7.99/month) -

Need help with Claude Code?

Ask Dr AI - it explains things simply.

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Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.

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