1+ hour, 24+ min ago   (404+ words) Deploying a 2.4T parameter open-weight model requires data-center-scale accelerated compute. Inference at this scale depends on extreme co-design across chips, system architecture, and software. NVIDIA is working with the open-source ecosystem to bring the model to multinode deployments through optimized kernels,…...

1+ day, 2+ hour ago   (504+ words) Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media processing, and remote operations. A system may capture several cameras, decode network streams, run AI inference or conventional vision…...

1+ day, 6+ hour ago   (832+ words) Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning model for every execution step adds cost and latency. NVIDIA Nemotron 3.5 Lightning is an open 30B mixture-of-experts (MoE) model…...

1+ day, 6+ hour ago   (1024+ words) Learn how NVIDIA NeMo Switchyard routes agent workloads across specialized and frontier models to balance performance, cost, and efficiency. Model routing addresses this challenge by orchestrating specialized and frontier models so that each task uses the model best suited to…...

2+ day, 6+ hour ago   (444+ words) Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI agentic work. Optimized to run across a range of NVIDIA edge, desktop, and workstation AI…...

1+ week, 5+ day ago   (242+ words) This post explores how post-training can turn WAMs into specialized robot policy, how WAMs compare to VLAs, and why the open NVIDIA Cosmos 3 world model provides a strong foundation for building WAMs. In the VLA paradigm, a pretrained VLM provides…...

1+ week, 4+ day ago   (836+ words) This post provides a pattern that preserves team autonomy without splitting the hardware. This solution involves a single control plane cluster with a GPU pool, GPU sharing with per-team quotas, and isolated Kubernetes control plane per team including an API…...

1+ week, 4+ day ago   (905+ words) As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1)....

1+ week, 5+ day ago   (907+ words) Behind these experiences is a growing need for video pipelines that are faster, more efficient, and capable of handling increasingly complex formats and workloads. NVIDIA Video Codec SDK helps developers meet that challenge by providing access to GPU-accelerated video encoding…...

1+ week, 5+ day ago   (731+ words) The NVIDIA AI Red Team shares how access controls, sandboxing, network egress restrictions, and secret management can reduce the risks of deploying AI agents at enterprise scale. Over the past six months, the NVIDIA AI Red Team has assessed multiple…...