Nvidia designs graphics processing units and networking hardware used to train and run artificial intelligence models, alongside the software frameworks built around them. Truncated covers its hardware releases, data center partnerships, regulatory policies and financial results.
hgpu.org — Low latency is critical to user experience. As NVIDIA Blackwell and Rubin GPUs advance multi-die scaling, data placement and cross-die communication become increasingly important. However, the late…
TechSpot — According to the Bay Area News Group, police suspect that sophisticated thieves stole $11.4 million worth of Nvidia equipment that was supposed to ship from Oakland to...
NVIDIA Technical Blog — When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an image requires multiple sequential passes…
Unite.AI — Amazon Web Services (AWS) announced NVIDIA Multi-Instance GPU support for Amazon SageMaker Inference on November 6, 2026, letting multiple hardware-isolated models share one accelerator on real-time endpoints instead of...
NVIDIA Technical Blog — During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For training efficiency, it is common to run…
GamesBeat — Hollywood & Games returns to Los Angeles on December 10, bringing together 250+ executives, founders, investors and decision-makers at the Grammy Museum's Clive Davis...
NVIDIA Blog — With over a million downloads, NVIDIA’s open source 5G/6G tools are equipping research institutions worldwide to develop wireless systems that help robots react faster, improve signal reception and match network capacity to demand.
The Decoder — OpenAI is talking about the AGI era, and Nvidia CEO Jensen Huang says AGI has arrived. At the same time, co-creators of today's models are leaving OpenAI, Google DeepMind, and Meta to start their own labs, raising billions with no product to show. Why? They're betting that the current recipe alone won't be enough. We've sorted 45 neolabs by their research bets, mapped the limitations of today's AI they're trying to overcome, looked at what's already visible from their work, and explain why Nvidia always wins.
Wccftech — Authorities in California are investigating an elaborate freight heist after six pallets of NVIDIA silicon worth $11.4 million dollars vanished during transit to Texas