Jetson Thor
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- Run Nemotron-3.5 Lightning on DGX Spark with TensorRT Edge-LLM
An NVIDIA Technical Blog tutorial shows how to run the text-only Nemotron-3.5 Lightning model on a 64GB DGX Spark using TensorRT Edge-LLM. The trtedge command-line interface downloads the model and builds inference engines, while the workflow covers terminal chat testing and serving through a local OpenAI-compatible API. The tutorial also demonstrates optional DSpark speculative decoding, which uses a draft model to propose tokens for the main model to verify. NVIDIA reports higher mean generation speeds with DSpark on its SpeedBench 1K, SpeedBench 2K and HumanEval prompt workloads. The measurements used DGX OS 7.6.0, NVFP4, batch size one, one concurrent streaming request and a 128-token output limit.
NVIDIA Technical Blog · 🔥 5 - NVIDIA Expands Isaac Stack and Unveils Agile ONE SN Humanoid
NVIDIA announced a major expansion of the open NVIDIA Isaac robotics platform at GTC Berlin, including Isaac Lab 3.0, the Isaac OS runtime, new simulation assets and datasets, and reference workflows. Agile Robots unveiled Agile ONE SN, a research humanoid reference platform built with Isaac GR00T and Jetson Thor, with planned early-2027 availability and planned Halos safety-stack integration. Agile Robots says the integrated environment can reduce setup time from weeks to days, but TechRepublic says that estimate has not been independently tested.
IT之家 AI · 🔥 6 - Primotion's Paimon-0 tops several embodied-AI benchmark leaderboards
On October 16, robot-chip startup Primotion (炎曦动力) published results for its in-house embodied foundation model Paimon-0, saying it ranks first on RoboCasa365 with a composite score of 58.1, first on VLA-Arena with a 0.73 average success rate, first overall on RoboColiseum including all four sub-leaderboards (instruction following, spatial understanding, perturbation adaptation, general manipulation), and first at the IROS Workshop Challenge with 46.599 points. The company also said it has signed intent purchase orders worth nearly 100 million yuan with several firms, covering multi-chip robot domain-control solutions and embodied-model solutions. The report describes Paimon-0 as a hierarchical asynchronous World Action Model that unifies vision, language, robot state and actions in one representation and runs reasoning and action generation asynchronously at different time scales. The leaderboard results are cited by the vendor, and the report offers no independent reproduction or third-party measurement.
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