… Use GitOps for policy intent: Store VM profiles, network rules, policy metadata, and release information in Git. GitOps should reconcile the desired platform state, while signed runtime policy bundles are distributed through a controlled release channel. …
… Integrating your policy Driving policies are easily swappable through generic APIs, allowing developers to test their state-of-the-art implementations. …
… Alpamayo serves as an example model here. uv run -m alpagym host.cli \ policy=alpamayo \ policy.model.kind=alpamayo r1 \ policy.model.path=/path/to/checkpoint \ reward=progress safety This will bring up AlpaGym with AlpaSim on a single GPU. …
… 4b Online RL post-training PPO via RLinf for precision stages For Assemble Trocar, Rheo provides a turnkey launcher: bash /workspaces/workflows/rheo/scripts/sim/rl/train gr00t assemble trocar.sh train \ --model path /models/ You can scale parallel environments or downshift for memory: scale up/down… …
… He specializes in developing joint AI solutions from ideation and integration through global scale, enabling production-grade AI platforms. …
… Prior to NVIDIA, Warren led core AI/ML platform teams in Google Cloud. …
… He manages the enterprise software and marketing strategy for Confidential Computing on accelerator platforms. …
… The goal shifts from measuring knowledge to measuring outcomes. …
… Sources Atreya, Pranav, et al. “RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies.” CoRL 2025. paper Black, Kevin, et al. “Pi-0: A Vision-Language-Action Flow Model for General Robot Control.” arXiv 2024. paper Pertsch, Karl, et al. “FAST: Efficient Action Tokenization for V… …
… His work focuses on building LLM inference systems and data platforms for datacenter-scale AI workloads. …