AI Briefing#nvidia
The latest AI and developer news about #nvidia, with the original source and a short summary.
The latest AI and developer news about #nvidia, with the original source and a short summary.
European retailers like Shopify, Zooplus, and Otto Group use NVIDIA-accelerated open models and digital twins to reduce costs, improve search accuracy, and simulate warehouse operations.
The new model uses EUMETSAT satellite data to predict cloud conditions across 16 Meteosat channels, supporting partners like AXA and TotalEnergies in risk assessment and energy forecasting.
Projects across Germany, Poland, the UK, and France utilize NVIDIA infrastructure and synthetic datasets to keep sensitive public data on controlled local infrastructure.
The pre-trained foundation model requires no feature engineering or table flattening, using up to 10,000 historical examples for single-pass inference on databases with over 500 billion rows.
NVIDIA, Pollen Robotics, and Hugging Face introduce a workflow to train walking policies for the Microduck robot in Isaac Lab 3.0 and deploy them via ONNX.
The open-source model uses a MOMENT-1-large backbone and DARR mode to blend direct predictions with k-nearest-neighbor retrieval from historical data.
The unified flow-matching model outperforms Proteina-Complexa by 5.8x in design yield while integrating sequence and all-atom structure generation.
The platform supports NVIDIA Orin Nano Super, AGX Thor, AGX Orin, Orin NX, and RTX GPUs with detailed profiling results.
The collaboration integrates Mistral Large 4 with NVIDIA accelerated computing to enable closed-loop simulation and design workflows across aerospace, automotive, and semiconductor industries.
The library provides pre-configured OpenUSD models with physics and thermal metadata to accelerate digital twin construction and robotics training.
NVIDIA showcases its local AI hardware lineup at GTC Berlin, while Recursive Superintelligence releases the Recursive Flint model optimized for RTX Spark.
The A5X platform integrates Vera Rubin NVL72 with Google Cloud Virgo Network to support large-scale reinforcement learning and agentic inference.
NVIDIA releases five Nemotron 3.5 models for embedding, reranking, and parsing, with the 8B Embed model topping ViDoRe v3.1 and the suite reducing agent token costs by up to 14%.
Partners are deploying NVIDIA Vera Rubin infrastructure and the OpenShell Reference Architecture to secure agentic AI deployments across Europe, the Nordics, Africa, and Central Asia.
Siemens reports 20% cost savings and 40% faster calibration using NVIDIA agents, while imec achieves up to 40x speedup in semiconductor simulation.
The CUDA-X library accelerates large sparse systems on GPUs, with partners reporting speedups ranging from 4x to 10x in production workflows.
The new deployment option allows organizations to run sensitive workloads on dedicated third-party infrastructure while retaining control of models and data.
NVIDIA expands its open source Agent Toolkit with the Agent Knowledge Foundation, CUDA-X libraries, and new Kumo open models to help enterprises ground agents in company data without moving it or changing governance.
The portfolio includes Nemotron 3.5, Kumo for structured data, Cosmos 3.5 for robotics, and Ising for quantum computing, enabling customization with local data.
CEO Jensen Huang announced the investment during a keynote at GTC Berlin, highlighting partnerships with 12,000+ partners and major European firms.
RFM demands more GPUs than LLMs because data generation through simulation is essential.
The system is the first real-time generative surgical simulator trained on clinical cholecystectomy recordings to support live kinematic control.
European cloud providers and server manufacturers are deploying Vera to accelerate agentic workloads and support sovereign AI infrastructure.
The release supports NVIDIA SM100 and Huawei Ascend 950 hardware, featuring optimized kernels and asynchronous scheduling for offline inference.