GenLayer Validator Requirements
Running a GenLayer Validator node ensures the security and reliability of the GenLayer network. Below are the requirements for running a GenLayer validator.
Dependencies
LLM Access
Each validator needs access to a Large Language Model (LLM) for executing and evaluating Intelligent Contracts.
It is up to each validator to select the model they want to use.
Possible options:
- Run an open-source model locally on the same machine with a GPU
- Run an open-source model on a different machine
- Connect to a hosted inference provider (OpenAI, Anthropic, Heurist, Atoma network etc.)
ZKSync Full Node for the GenLayer Chain
Each validator needs access to a ZKSync Full Node (opens in a new tab) connected to the GenLayer chain.
One full node can be shared between multiple validators - TBD how many exactly.
System Requirements
Below are the initial recommended system requirements. These guidelines may change as the network grows and evolves.
RAM
- Recommended: 16 GB
- Why:
- GenLayer's genvm can spawn multiple Sub-VMs for contract calls and non-deterministic blocks.
- Each Sub-VM can consume up to ~4 GB of RAM for storage.
CPU
- Recommended: Modern multi-core processor with at least 8 cores/16 threads
Storage
- Recommended Disk Space: 128 GB+
- Preferred Type: SSD or NVMe (M.2)
Network
- Recommended Connection: Stable broadband
Operating System
- Recommended: 64-bit Linux (Ubuntu, Debian, CentOS, etc.)
GPU (Optional)
- Recommended: If you plan to run advanced AI-models locally, a CUDA-compatible GPU could be beneficial.
These requirements are a starting point. As GenLayer evolves and usage patterns change (e.g., more complex AI-driven Intelligent Contracts), the recommended hardware may change.