File size: 2,488 Bytes
6b6699d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | # Cloud Migration Guide for AgentIC + OpenLane
This guide explains how to move your local AI-to-GDSII flow to a cloud provider (AWS, GCP, Azure, Lambda Labs, or RunPod).
## 1. Hardware Requirements
OpenLane and Local LLMs are resource-intensive. Do not use a "Free Tier" (t2.micro) instance.
* **CPU**: 4 vCPUs minimum (8 recommended for Place & Route).
* **RAM**: 16 GB minimum (32 GB recommended).
* **Storage**: 50 GB SSD minimum (Docker images + PDKs take ~30GB).
* **GPU**: NVIDIA T4 (16GB VRAM) or better recommended if running Ollama locally.
## 2. Setup Script (Ubuntu 22.04 / 24.04)
Run these commands on your new cloud instance to replicate your environment.
### A. Install System Dependencies
```bash
sudo apt-get update && sudo apt-get install -y \
docker.io \
python3-pip \
python3-venv \
git \
make \
curl \
iverilog
# Add user to docker group (avoids sudo for docker)
sudo usermod -aG docker $USER
newgrp docker
```
### B. Install Ollama (for DeepSeek)
If you have a GPU, install the Nvidia Container Toolkit first. If CPU-only, just run:
```bash
curl -fsSL https://ollama.com/install.sh | sh
# Pull the model
ollama pull deepseek-r1
```
### C. Clone & Setup Your Workspace
```bash
# Clone OpenLane (Infrastructure)
git clone https://github.com/The-OpenROAD-Project/OpenLane.git ~/OpenLane
cd ~/OpenLane
make pull-openlane # Downloads the heavy Docker images
# Clone AgentIC (Your Logic)
# (Assuming you push your local code to a git repo first)
git clone <YOUR_GITHUB_REPO_URL> ~/AgentIC
# Setup Python Env
cd ~/AgentIC
python3 -m venv agentic_env
source agentic_env/bin/activate
pip install -r requirements.txt
```
## 3. Remote Access
To view your designs (GDSII files) or access the terminal easily, use VS Code Remote - SSH.
1. In local VS Code: Install "Remote - SSH" extension.
2. Connect to `ssh user@your-cloud-ip`.
3. Open the folder `/home/user/AgentIC`.
## 4. Modified Flow for Cloud (Headless)
Since you won't have a GUI window for `klayout` or unnecessary graphics:
1. Run the build command normally:
```bash
python main.py build --name cloud_adder --desc "8-bit adder"
```
2. **Viewing Results**: Do not try to open KLayout on the server. Instead, use the `scp` command to copy the final GDS file to your local machine:
```bash
# Run this on your LOCAL machine
scp user@your-cloud-ip:~/OpenLane/designs/cloud_adder/runs/agentrun/results/final/gds/cloud_adder.gds ./
```
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