advanced-usage
Modal automatically handles zero-downtime deployments: 1. New containers are built and started 2. Traffic gradually shifts to new version 3. Old containers drain existing requests 4. Old containers are terminated
- Skills
- AI research
- 0
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/advanced-usage-7 && curl -fsSL https://doutorai.pt/data/lib/skills__advanced-usage-7.md -o .claude/skills/advanced-usage-7/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Modal Advanced Usage Guide
## Multi-GPU Training
### Single-node multi-GPU
```python
import modal
app = modal.App("multi-gpu-training")
image = modal.Image.debian_slim().pip_install("torch", "transformers", "accelerate")
@app.function(gpu="H100:4", image=image, timeout=7200)
def train_multi_gpu():
from accelerate import Accelerator
accelerator = Accelerator()
model, optimizer, dataloader = accelerator.prepare(model, optimizer, dataloader)
for batch in dataloader:
outputs = model(**batch)
loss = outputs.loss
accelerator.backward(loss)
opt
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