…Another optimization was to replace a custom selection routine with a cub::DeviceSelect function call. This simplifies the code, and off-loads the maintenance and optimization aspects for current and upcoming hardware…
…NVIDIA AI Enterprise delivers validation and integration for NVIDIA AI open-source software, access to AI solution workflows to speed time to production, certifications to deploy AI everywhere, and enterprise-grade support…
…Bik , Gunja Pandav and Satya Varadhan Discuss (3) Discuss (3) L T F R E AI-Generated Summary Like Dislike Integration of the Universal Sparse Tensor (UST) into nvmath-python v0.9…
…IGX Thor offers rich industrial I/O—multiple PCIe Gen5, SFP+, CAN, and high-speed digital interfaces—simplifying integration with legacy PLCs, sensors, robotics, control networks, and more. Functional safety and proactive…
…Developers can fine-tune and post-train policies using supervised learning and online RL (e.g., PPO via RLinf), validate with task-level and end-to-end integration tests, and exploit domain…
…Integrated into Megatron Core and validated on NVIDIA DGX Hopper and Grace Blackwell platforms, Hybrid-EP demonstrated 514% throughput improvements over prior approaches in DeepSeek-V3, Megatron-FSDP, and Qwen 3 235B…
…The project builds on Julia’s existing GPU ecosystem, integrating with CUDA.jl for array management and kernel launching. Users who are already writing GPU code in Julia with CUDA.jl will…
…NVIDIA Alpamayo integration supports end-to-end trajectory planning in autonomous vehicles, employing flow matching trajectory decoding, explainable decision-making with multicamera context, and FP8-accelerated Vision Transformers, marking a shift from…
…This keeps integration straightforward and limits the bandwidth required between sensor and compute platform. The tradeoffs, however, are noteworthy: Point clouds send only peak detections, and carry ~100x less data than the…
…The robustness of VLM-integrated systems depends not only on core model properties but also on comprehensive input/output sanitization, threat modeling, and adversarial training, especially when deployed in environments where attackers…