what's GPU-EVM?

GPU-EVM is a high-performance Ethereum Virtual Machine implementation optimized for NVIDIA GPUs, utilizing CUDA and PTX to execute EVM bytecode across thousands of GPU cores for massive parallelization. This enables up to 500x throughput gains over CPU-based EVMs like evmone or revm for workloads such as batch transaction simulation, security fuzzing, and reinforcement learning agent training on EVM environments. The project supports Ethereum General State Tests (e.g., Shanghai, Cancun) and serves as drop-in infrastructure for applications needing accelerated EVM execution, including AI model training via parallel simulations, MEV analysis, backtesting, and potential L2 optimizations. Developed by GatlingX (GPU-EVM LTD), the open-source code under BUSL-1.1 targets post-Volta GPUs and focuses on non-latency-sensitive, high-throughput scenarios.

GPU-EVM code released, fastest EVM on GPU with 500x performance via NVIDIA PTX.