10 results for “Jetson”
NVIDIA released Isaac ROS 5.0 at ROSCon Toronto with agentic workflows for robotics. It adds AI agent skills for perception tuning and manipulation, plus 5.5x faster FoundationPose inference on Jetson.
NVIDIA has introduced two new Jetson Thor modules aimed at bringing more capable AI workloads to robots and edge devices. The Jetson T3000 and T2000 are designed for systems that need to process vision, language and sensor data locally.
NVIDIA says TensorRT Edge-LLM ran Qwen3.6-27B through the MLPerf Edge Agentic workload in 24 minutes 36 seconds on one Jetson AGX Thor. The 6.4x gap over llama.cpp puts long-context agent inference on edge.
NVIDIA published a tutorial showing an AI agent migrating a ROS 2 node to the CUDA buffer backend in Isaac ROS 5.0. The zero-copy transport eliminates host-device copies at the middleware boundary.
NVIDIA submitted its first MLPerf Inference v6.1 preview results for Vera Rubin NVL72, showing up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL. The numbers signal a leap for rack-scale inference on MoE models.
NVIDIA released Nemotron 3.5 Lightning, a 30B MoE model with 3B active parameters built for high-volume agent execution. The open model cuts inference cost for always-on agents by handling routine tool calls while frontier models focus on planning.
Skild AI launched S1, a robot foundation model that learns new tasks from a single video without retraining. It cuts deployment time to minutes and assembles NVIDIA Blackwell systems at Foxconn.
NVIDIA released TensorRT Model Connect in public preview, turning Hugging Face checkpoints into native C++ TensorRT bundles with two commands and no ONNX step. The aarch64-only wheels target robotics and edge teams on ARM-based NVIDIA hardware.
Amazon and Nvidia expanded their partnership with a 2 million GPU order for 2027-2028 delivery, tripling the previous commitment. The deal spans Blackwell Ultra, Rubin, and Vera CPUs while Amazon simultaneously builds competing Trainium chips.
Google DeepMind announced its Gemma open models have surpassed one billion downloads and 100,000 community variants. The milestone underscores Gemma's role as a default substrate for open-weights AI development across space, healthcare, and research.