Deploying Perplexity R1 1776 on Akash

Introduction to Perplexity and R1 1776

Perplexity AI is an advanced AI-powered search and knowledge system designed to provide direct and detailed responses to user queries. It is known for its real-time data retrieval, summarization, and contextual awareness.

What is Perplexity R1 1776?

Perplexity R1 1776 is a machine learning model built for high-quality text generation, capable of reasoning, summarization, and information retrieval. It has applications in AI-driven assistants, automated customer support, research synthesis, and more.

Why Deploy on Akash?

Akash Network is a decentralized cloud computing marketplace that enables permissionless and cost-effective deployment of containerized applications. Deploying Perplexity R1 1776 on Akash provides:

• Decentralization: Avoid reliance on centralized cloud providers.
• Cost-effectiveness: Lower deployment costs compared to traditional cloud providers.
• Scalability: Easily scale resources as needed.

Prerequisites

Ensure you have the following installed on your *nix system:

• Akash CLI (akash binary)
• Docker
• kubectl
• Helm

Step 1: Build and Push the Perplexity R1 1776 Container

First, create a Docker container for the Perplexity R1 1776 model:

# Clone the repository or pull the model
git clone https://huggingface.co/perplexity-ai/r1-1776
cd r1-1776

# Create a Dockerfile
cat <<EOF > Dockerfile
FROM python:3.9
RUN pip install torch transformers
COPY . /app
WORKDIR /app
CMD ["python", "app.py"]
EOF

# Build the Docker image
DOCKER_IMAGE="your-dockerhub-username/perplexity-r1-1776:latest"
docker build -t $DOCKER_IMAGE .

# Push to Docker Hub
docker login

docker push $DOCKER_IMAGE

Step 2: Create the Akash Deployment File (SDL)

Save the following SDL (Stack Definition Language) file as deploy.yml:

version: "2.0"
services:
  perplexity:
    image: your-dockerhub-username/perplexity-r1-1776:latest
    expose:
      - port: 8000
        as: 80
        to:
          - global: true
profiles:
  compute:
    perplexity:
      resources:
        cpu: 2
        memory: 4Gi
        storage: 10Gi
  placement:
    dcloud:
      pricing:
        perplexity:
          denom: uakt
          amount: 10000
deployment:
  perplexity:
    dcloud:
      profile: perplexity
      count: 1

Modify the image field in deploy.yml with your actual Docker Hub repository and tag.

Step 3: Deploy on Akash

3.1 Fund Your Akash Wallet

Ensure your Akash wallet has enough AKT tokens to deploy.

provider-services wallet balance

If needed, fund your wallet through an exchange.

3.2 Deploy Using Provider Services

3.2.1 Create an Order

provider-services bid submit deploy.yml

3.2.2 View Your Deployment Status

provider-services lease status --dseq <deployment-sequence>

3.2.3 View Assigned Provider Information

provider-services lease list

3.2.4 Get Your Deployment URL

provider-services lease logs --dseq <deployment-sequence>

Once the logs confirm that your application is running, navigate to the assigned provider URL.

Step 4: Verify and Use the Model

After deployment, open a browser and access the Perplexity R1 1776 endpoint:

curl http://<your-provider-url>/predict -X POST -d '{"query": "What is Akash Network?"}'

Conclusion

You have successfully deployed Perplexity R1 1776 on Akash! This setup enables you to leverage the model’s capabilities in a decentralized, cost-effective manner. You can scale it further by adjusting resource allocations in the SDL file.

For troubleshooting, check:

• provider-services lease logs --dseq <deployment-sequence> for deployment logs.
• The Akash documentation for further configurations.

Happy Deploying!