# Miles

RadixArk, working with NVIDIA, ran every sandbox of its open-source RL post-training framework Miles on NVIDIA Vera CPUs, which it calls the first public result of end-to-end agentic RL training with all sandboxes on Vera CPU servers. In a comparison that first kept the machines busy, with the same model, tasks, GPUs and settings, episodes with sandboxes on Turin took 12% longer on average, while model thinking time was identical, so nearly all of the gap came from work inside the sandbox. With a single sandbox running, Vera performs on par with or better than current x86, and its lead grows with load.

RadixArk, working with NVIDIA, ran every sandbox of its open-source RL post-training framework Miles on NVIDIA Vera CPUs, which it calls the first public result of end-to-end agentic RL training with all sandboxes on Vera CPU servers. In a comparison that first kept the machines busy, with the same model, tasks, GPUs and settings, episodes with sandboxes on Turin took 12% longer on average, while model thinking time was identical, so nearly all of the gap came from work inside the sandbox. With a single sandbox running, Vera performs on par with or better than current x86, and its lead grows with load.