Purpose-built for AI infrastructure, NVIDIA BlueField DPUs combine high-performance networking, programmable compute, hardware acceleration, and advanced security capabilities into a single platform embedded into every AI factory compute node. Unlike traditional security approaches that rely on host system software, BlueField establishes a hardware-enforced, in-silicon, and workload-independent security layer. Operating within its own trusted execution domain, BlueField isolates infrastructure and security services from the host system. Monitoring, policy enforcement, and telemetry operate eve
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical BlogDOCA Flow is a foundational library within the DOCA software platform that enables developers and cybersecurity providers to create high-performance, hardware-accelerated packet processing pipelines on BlueField processors. Through a programmable API, developers can define packet processing “pipes” that execute directly in networking hardware, offloading networking and security operations from the host CPU while maintaining ultra-low latency and high throughput. By executing packet inspection, encryption, filtering, and policy enforcement directly in silicon, DOCA Flow enables network security
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog…Train robot policies: Use the resulting synthetic trajectories to train visuomotor policies, enabling robots to perform new behaviors and generalize to unseen scenarios. DreamGen Bench DreamGen Bench is a specialized benchmark designed…
…At the core of its platform, Cosmos WFMs speed up synthetic data generation and act as a foundation for post-training, to develop downstream domain or task-specific physical AI models to…
…Group Relative Policy Optimization Group Relative Policy Optimization (GRPO) is an efficient policy optimization algorithm that pairs naturally with RLVR. It generates multiple completions per prompt and replaces PPO’s critic network…
…of investment in Slurm job scripts, fair-share policies, and accounting workflows. The challenge is getting Slurm scheduling capabilities onto Kubernetes—the standard platform for managing GPU infrastructure at scale—without maintaining…
…without changing the routing integration. NeMo Switchyard can make a model call through the target client or return the call to the host application. This gives an agent runtime, inference platform, or…
…This makes it easy to connect with custom systems such as service management platforms, node imaging pipelines, or cloud automation tools. The system is disaggregated, enabling operators to use only the components…
…policies are trained and validated against physically grounded environments. To make NVIDIA Omniverse easier to integrate into existing applications, NVIDIA is adding a modular, library‑based architecture alongside the existing platform. Core…
…Rapid time to market through production-ready platforms : Leverages automotive-grade hardware and a proven, production-ready software stack, enabling rapid deployment from day one. No changes to existing vehicle electronics architecture…
…A benchmarking platform that ranks AI models for text, image, and video generation. Cosmos 3 is the leading open source model on the Text to Image leaderboard and Image to Video (no…
…From a user’s perspective, comparing backends is a one-flag change: # TensorRT LLM aiconfigurator cli default \ --model-path nvidia/Qwen3-32B-NVFP4 \ --total-gpus 64 --system b200_sxm \ --backend trtllm # SGLang…