
Volume 343, Issue 4 · 10 articles
NVIDIA shows how TensorRT Edge-LLM and the trtedge CLI let embedded developers run models like Nemotron-3.5 Lightning on DGX Spark in a few commands. Read more
NVIDIA shows that multi-pass TF32x3 and BF16x9 tensor-core modes speed up machine learning interatomic potentials without losing accuracy. Read more
NVIDIA cites SemiAnalysis AgentX results claiming Vera Rubin NVL72 gives up to 30x the throughput per megawatt of GB300 NVL72. Read more
NVIDIA says RTX Spark Windows laptops from six makers are available, alongside the Nemotron 3.5 Transcribe speech model and new games and tools. Read more
NVIDIA presents NemoClaw, open blueprints combining an agent harness, Nemotron models, NeMo tools and the OpenShell runtime for specialized agents. Read more
NVIDIA introduces gds-diag, an open-source tool that checks GPUDirect Storage setups, flags problems and suggests fixes. Read more
NVIDIA releases Nemotron 3.5 Super VL, an open 120B mixture-of-experts multimodal model activating 12B parameters per token for agentic workflows. Read more
NVIDIA outlines fine-tuning Nemotron 3.5 Lightning with France and Belgium persona datasets so models learn local procedures. Read more
NVIDIA shows developers using frontier AI agents with Omniverse libraries to build simulations such as warehouse models and turbine digital twins. Read more
NVIDIA describes AI Cluster Runtime (AICR), which packages validated Kubernetes recipes for deploying the Dynamo distributed inference framework. Read more