NVIDIA Warp boosts MuJoCo robotics sim to 2,048 parallel environments

nvidia warp is a python framework for writing high-performance, gpu-accelerated kernels. it is used to accelerate mujoco simulation on gpu, enabling 2,048 parallel environments for robotics learning workflows. this technology, called mjwarp, allows for faster simulation and learning workflows for robotics development. mujoco warp takes compatible mujoco models and advances them in large batches on nvidia gpus. the simulation environment is scaled up without requiring significant changes to the existing workflow.