Running a Prover
Overview
This guide covers the steps required to run a prover on the Aztec network. Operating a prover is a resource-intensive role typically undertaken by experienced engineers due to its technical complexity and hardware requirements.
Aztec provers are critical infrastructure components. They generate cryptographic proofs attesting to transaction correctness, ultimately producing a single rollup proof submitted to Ethereum.
Before proceeding, ensure you've reviewed and completed the prerequisites for the Docker Compose method.
This guide uses the Docker Compose method. This is the recommended approach for prover nodes due to the complexity of managing distributed components.
Prover Architecture
The prover consists of three main components:
-
Prover node: Polls L1 for unproven epochs, creates prover jobs, distributes them to the broker, and submits the final rollup proof to the rollup contract.
-
Prover broker: Manages the job queue, distributing work to agents and collecting results.
-
Prover agent(s): Executes proof generation jobs in a stateless manner.
Minimum Requirements
Prover Node
- 16 core / 32 vCPU (released in 2015 or later)
- 16 GB RAM
- 1 TB NVMe SSD
- 25 Mbps network connection
Prover Broker
- 8 core / 16 vCPU (released in 2015 or later)
- 16 GB RAM
- 10 GB SSD
Prover Agents
For each agent:
- 32 core / 64 vCPU (released in 2015 or later)
- 128 GB RAM
- 10 GB SSD
These requirements are subject to change as the network throughput increases. Prover agents require high-performance hardware, typically data center-grade infrastructure.
You can run multiple prover agents on a single machine by adjusting PROVER_AGENT_COUNT. Hardware requirements scale approximately linearly:
- 2 agents: 64 cores, 256 GB RAM
- 3 agents: 96 cores, 384 GB RAM
- 4 agents: 128 cores, 512 GB RAM
Generating Keys
Before setting up your prover, you need to generate the required Ethereum private key for the prover publisher.
Prover Publisher Private Key
The prover publisher key is used to submit proofs to L1. This account needs ETH funding to pay for L1 gas.
Generate an Ethereum private key using Foundry's cast tool:
# Generate a new wallet with a 24-word mnemonic
cast wallet new-mnemonic --words 24
# This outputs a mnemonic phrase, a derived address, and private key
# Save these securely - you'll need the private key for PROVER_PUBLISHER_PRIVATE_KEY
# and the address for PROVER_ID
Important notes:
- Save both the private key and the derived address securely
- The private key will be used for
PROVER_PUBLISHER_PRIVATE_KEY - The derived Ethereum address will be used for
PROVER_ID
The publisher account needs to be funded with ETH to post proofs to L1. Ensure the account holds sufficient ETH for gas costs during operation.
If you don't have Foundry installed, follow the installation guide at getfoundry.sh.
Setup
The prover components are distributed across multiple machines for better performance and resource utilization. This setup runs multiple prover agents on separate high-performance machines, isolates the broker for better job queue management, and separates network-facing components (prover node) from compute-intensive components (agents).
Architecture
- Prover Node: Runs on a machine with network access and L1 connectivity
- Prover Broker: Can run on the same machine as the prover node or separately (must be accessible from prover agents)
- Prover Agents: Run on separate high-performance machines (32+ cores each, scalable with
PROVER_AGENT_COUNT)
Prover agents must communicate with the prover broker over the network. Ensure that:
- The broker machine's port 8080 is accessible from all agent machines
- Firewall rules allow traffic between agents and broker
- Network connectivity is stable and low-latency between components
Prover Node and Broker Setup
On the machine that will run the prover node and broker:
Step 1: Set Up Directory Structure
mkdir -p aztec-prover-node/prover-node-data aztec-prover-node/prover-broker-data
cd aztec-prover-node
touch .env
Step 2: Configure Environment Variables
Add to your .env file:
# Prover Node Configuration
DATA_DIRECTORY=./prover-node-data
P2P_IP=[your external IP address]
P2P_PORT=40400
ETHEREUM_HOSTS=[your L1 execution endpoint]
L1_CONSENSUS_HOST_URLS=[your L1 consensus endpoint]
LOG_LEVEL=info
PROVER_BROKER_HOST=http://prover-broker:8080
PROVER_PUBLISHER_PRIVATE_KEY=[your prover publisher private key, see prerequisites]
AZTEC_PORT=8080
AZTEC_ADMIN_PORT=8880
# Prover Broker Configuration
PROVER_BROKER_DATA_DIRECTORY=./prover-broker-data
PROVER_BROKER_PORT=8080
Step 3: Create Docker Compose File
Create docker-compose.yml:
name: aztec-prover-node
services:
prover-node:
image: aztecprotocol/aztec:2.1.5
entrypoint: >-
node
--no-warnings
/usr/src/yarn-project/aztec/dest/bin/index.js
start
--prover-node
--archiver
--network testnet
depends_on:
prover-broker:
condition: service_started
required: true
environment:
DATA_DIRECTORY: /var/lib/data
ETHEREUM_HOSTS: ${ETHEREUM_HOSTS}
L1_CONSENSUS_HOST_URLS: ${L1_CONSENSUS_HOST_URLS}
LOG_LEVEL: ${LOG_LEVEL}
PROVER_BROKER_HOST: ${PROVER_BROKER_HOST}
PROVER_PUBLISHER_PRIVATE_KEY: ${PROVER_PUBLISHER_PRIVATE_KEY}
P2P_IP: ${P2P_IP}
P2P_PORT: ${P2P_PORT}
AZTEC_PORT: ${AZTEC_PORT}
AZTEC_ADMIN_PORT: ${AZTEC_ADMIN_PORT}
ports:
- ${AZTEC_PORT}:${AZTEC_PORT}
- ${P2P_PORT}:${P2P_PORT}
- ${P2P_PORT}:${P2P_PORT}/udp
volumes:
- ${DATA_DIRECTORY}:/var/lib/data
restart: unless-stopped
prover-broker:
image: aztecprotocol/aztec:2.1.5
entrypoint: >-
node
--no-warnings
/usr/src/yarn-project/aztec/dest/bin/index.js
start
--prover-broker
--network testnet
environment:
DATA_DIRECTORY: /var/lib/data
ETHEREUM_HOSTS: ${ETHEREUM_HOSTS}
P2P_IP: ${P2P_IP}
LOG_LEVEL: ${LOG_LEVEL}
ports:
- ${PROVER_BROKER_PORT}:8080
volumes:
- ${PROVER_BROKER_DATA_DIRECTORY}:/var/lib/data
restart: unless-stopped
The admin port (8880) is intentionally not exposed to the host machine for security reasons. The admin API provides sensitive operations like configuration changes and database rollbacks that should never be accessible from outside the container.
If you need to access admin endpoints, use docker exec:
docker exec -it prover-node curl -X POST http://localhost:8880 \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","method":"nodeAdmin_getConfig","params":[],"id":1}'
Important: The broker exposes port 8080 via ports: - ${PROVER_BROKER_PORT}:8080, making it accessible to external prover agents. Ensure this port is reachable from your agent machines.
This configuration includes only essential settings. The --network testnet flag applies network-specific defaults—see the CLI reference for all available configuration options.
Step 4: Start Node and Broker
docker compose up -d
Prover Agent Setup
On each machine that will run prover agents:
Step 1: Set Up Directory
mkdir aztec-prover-agent
cd aztec-prover-agent
touch .env
Step 2: Configure Environment Variables
Add to your .env file:
PROVER_AGENT_COUNT=1
PROVER_AGENT_POLL_INTERVAL_MS=10000
PROVER_BROKER_HOST=http://[BROKER_MACHINE_IP]:8080
PROVER_ID=[address corresponding to PROVER_PUBLISHER_PRIVATE_KEY]
Replace [BROKER_MACHINE_IP] with the IP address of the machine running the prover broker.
Agent configuration tips:
- Set
PROVER_AGENT_COUNTbased on your machine's hardware (e.g., 64 cores/256 GB RAM = 2 agents, 96 cores/384 GB RAM = 3 agents, 128 cores/512 GB RAM = 4 agents) - Test connectivity before starting:
curl http://[BROKER_MACHINE_IP]:8080 - If the curl test fails, check your network configuration, firewall rules, and ensure the broker is running
Step 3: Create Docker Compose File
Create docker-compose.yml:
name: aztec-prover-agent
services:
prover-agent:
image: aztecprotocol/aztec:2.1.5
entrypoint: >-
node
--no-warnings
/usr/src/yarn-project/aztec/dest/bin/index.js
start
--prover-agent
--network testnet
environment:
PROVER_AGENT_COUNT: ${PROVER_AGENT_COUNT}
PROVER_AGENT_POLL_INTERVAL_MS: ${PROVER_AGENT_POLL_INTERVAL_MS}
PROVER_BROKER_HOST: ${PROVER_BROKER_HOST}
PROVER_ID: ${PROVER_ID}
restart: unless-stopped
Step 4: Start Agent
docker compose up -d
Scaling your prover capacity:
- Horizontal scaling: Add more agent machines by repeating the agent setup on additional high-performance machines
- Vertical scaling: Increase
PROVER_AGENT_COUNTon existing machines (ensure adequate hardware)
All agents, regardless of which machine they're on, must be able to communicate with the broker at the configured PROVER_BROKER_HOST.
Verification
Once your prover is running, verify all components are working correctly:
Check Services
On the prover node machine:
docker compose ps
On each agent machine:
docker compose ps
View Logs
On prover node machine:
# Prover node logs
docker compose logs -f prover-node
# Broker logs
docker compose logs -f prover-broker
On agent machines:
# Agent logs
docker compose logs -f prover-agent
Troubleshooting
Components not communicating
Issue: Prover agent cannot connect to broker.
Solutions:
- Verify the broker IP address in
PROVER_BROKER_HOSTis correct - Ensure port 8080 on the broker machine is accessible from agent machines
- Check firewall rules between machines allow traffic on port 8080
- Test connectivity from agent machine:
curl http://[BROKER_IP]:8080 - Verify the broker container is running:
docker compose ps - Check if the broker port is exposed in docker-compose.yml
- Review broker logs for connection attempts:
docker compose logs prover-broker
Insufficient resources
Issue: Prover agent crashes or performs poorly.
Solutions:
- Verify your hardware meets the minimum requirements (32 cores per agent, 128 GB RAM per agent)
- Check system resource usage:
docker stats - Reduce
PROVER_AGENT_COUNTif running multiple agents per machine - Ensure no other resource-intensive processes are running
- Monitor CPU and memory usage to verify resources match your configured agent count
Agent not picking up jobs
Issue: Agent logs show no job activity.
Solutions:
- Verify the broker is receiving jobs from the prover node
- Check broker logs for errors
- Confirm
PROVER_IDmatches your publisher address - Ensure agent can reach the broker endpoint
- Test broker connectivity:
curl http://[BROKER_IP]:8080
Docker issues
Issue: Containers won't start or crash repeatedly.
Solutions:
- Ensure Docker and Docker Compose are up to date
- Check disk space availability on all machines
- Verify
.envfiles are properly formatted - Review logs for specific error messages
Common Issues
See the Operator FAQ for additional common issues and resolutions.
Next Steps
- Monitor your prover's performance and proof submission rate
- Consider adding more prover agents for increased capacity (either by increasing
PROVER_AGENT_COUNTor adding more machines) - Join the Aztec Discord for operator support
- Review creating and voting on proposals for participating in governance