Agentic AI Reasoning Models The NVIDIA Llama Nemotron open model family with reasoning capabilities. Post-Trained by NVIDIA, New Llama Nemotron Reasoning Models Provide Business-Ready Foundation for Agentic AIAccenture, Amdocs, Atlassian, Box, Cadence, CrowdStrike, Deloitte, IQVIA, Microsoft, SAP and ServiceNow Pioneering Reasoning AI Agents With NVIDIA to Transform Work SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced the open Llama Nemotron family of models with reaso ...

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid RobotsNVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics EngineNew Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Is ...

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid RobotsNVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics EngineNew Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Is ...

SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced the NVIDIA RTX PRO™ Blackwell series — a revolutionary generation of workstation and server GPUs redefining workflows for AI, technical, creative, engineering and design professionals with breakthrough accelerated computing, AI inference, ray tracing and neural rendering technologies. For everything from agentic AI, simulation, extended reality, 3D design and complex visual effects to developing physical AI powering autonomou ...

Core Insights - NVIDIA has launched DGX Spark and DGX Station, personal AI supercomputers powered by the NVIDIA Grace Blackwell platform, aimed at developers, researchers, and data scientists [1][2][3] - These systems allow users to prototype, fine-tune, and run large AI models locally or on NVIDIA DGX Cloud, enhancing accessibility to advanced AI capabilities [2][7] Product Features - DGX Spark is described as the world's smallest AI supercomputer, designed to empower millions of users with high performance for generative and physical AI applications [4] - The heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, which delivers up to 1,000 trillion operations per second for AI compute tasks [5] - DGX Station features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, providing 784GB of coherent memory space for large-scale AI workloads [8] Technical Specifications - The GB10 Superchip utilizes NVIDIA NVLink-C2C interconnect technology, offering 5x the bandwidth of fifth-generation PCIe, optimizing performance for memory-intensive workloads [6] - DGX Station includes the NVIDIA ConnectX-8 SuperNIC, supporting networking speeds of up to 800Gb/s, facilitating high-speed connectivity for larger workloads [9] Software and Integration - Users of DGX Spark can seamlessly transition their models to DGX Cloud or other infrastructures with minimal code changes, streamlining the development process [7] - The integration of NVIDIA CUDA-X AI platform and NVIDIA NIM microservices enhances the performance and deployment of AI applications [10] Availability - Reservations for DGX Spark systems are open, while DGX Station is expected to be available later this year through manufacturing partners [11]

Core Insights - NVIDIA has introduced NVIDIA Spectrum-X and NVIDIA Quantum-X silicon photonics networking switches, which significantly enhance energy efficiency and operational costs for AI factories [1][2][3] - The new networking solutions integrate optical innovations, achieving 3.5x more power efficiency and 10x better network resiliency compared to traditional methods [2][4] Group 1: Product Features - NVIDIA Spectrum-X Ethernet platform offers 1.6x bandwidth density compared to traditional Ethernet, supporting multi-tenant, hyperscale AI factories [4] - The Spectrum-X switches can deliver a total bandwidth of 100Tb/s with configurations of 128 ports of 800Gb/s or 512 ports of 200Gb/s, and up to 400Tb/s with 512 ports of 800Gb/s or 2,048 ports of 200Gb/s [4] - NVIDIA Quantum-X Photonics switches provide 144 ports of 800Gb/s InfiniBand, featuring a liquid-cooled design for efficient cooling and offering 2x faster speeds and 5x higher scalability than previous generations [5] Group 2: Industry Collaboration - NVIDIA's silicon photonics ecosystem includes collaborations with industry leaders such as TSMC, Coherent, Corning Incorporated, and Foxconn, among others [6][7] - TSMC's silicon photonics solution enhances NVIDIA's capabilities to scale AI factories to millions of GPUs, leveraging advanced chip manufacturing and 3D chip stacking technologies [7] Group 3: Availability - NVIDIA Quantum-X Photonics InfiniBand switches are expected to be available later in 2025, while Spectrum-X Photonics Ethernet switches are anticipated in 2026 [8]

NVIDIA Blackwell Ultra The Blackwell Ultra AI factory platform enables organizations everywhere to accelerate applications such as AI reasoning, agentic AI and physical AI. Top Computer Makers, Cloud Service Providers and GPU Cloud Providers to Boost Training and Test-Time Scaling Inference, From Reasoning to Agentic and Physical AI New Open-Source NVIDIA Dynamo Inference Software to Scale Up Reasoning AI Services With Leaps in Throughput, Faster Response Time and Reduced Total Cost of Ownership NVIDIA ...

Core Insights - NVIDIA has launched NVIDIA Dynamo, an open-source inference software aimed at enhancing AI reasoning models' performance and cost efficiency in AI factories [1][3][13] - The software is designed to maximize token revenue generation by orchestrating inference requests across a large fleet of GPUs, significantly improving throughput and reducing costs [2][3][4] Performance Enhancements - NVIDIA Dynamo doubles the performance and revenue of AI factories using the same number of GPUs when serving Llama models on the NVIDIA Hopper platform [4] - The software's intelligent inference optimizations can increase the number of tokens generated by over 30 times per GPU when running the DeepSeek-R1 model [4] Key Features - NVIDIA Dynamo includes several innovations such as a GPU Planner for dynamic GPU management, a Smart Router to minimize costly recomputations, a Low-Latency Communication Library for efficient data transfer, and a Memory Manager for cost-effective data handling [14][15] - The platform supports disaggregated serving, allowing different computational phases of large language models to be optimized independently across various GPUs [9][14] Industry Adoption - Major companies like Perplexity AI and Together AI are planning to leverage NVIDIA Dynamo for enhanced inference-serving efficiencies and to meet the compute demands of new AI reasoning models [8][10][11] - The software supports various frameworks including PyTorch and NVIDIA TensorRT, facilitating its adoption across enterprises, startups, and research institutions [6][14]

Meta Platforms (META) is beginning to test its previously announced Community Notes from today. The program replaces its third-party fact-checking program in the United States to promote more free speech across its platforms, Facebook, Instagram and Threads. META’s decision to loosen control over content monitoring is expected to boost user engagement. In the fourth quarter of 2024, the daily active user base continued to grow across Facebook, Instagram and WhatsApp on a year-over-year basis, both globally ...

Core Insights - General Motors (GM) and NVIDIA are extending their collaboration to develop next-generation vehicles, factories, and robots utilizing AI, simulation, and accelerated computing [1][2] - The partnership aims to create custom AI systems for optimizing GM's manufacturing processes and enhancing vehicle safety features [2][3] Group 1: Collaboration Details - GM will leverage NVIDIA's accelerated compute platforms, including NVIDIA Omniverse and NVIDIA DRIVE AGX, to train AI manufacturing models [2][4] - The collaboration will focus on creating digital twins of assembly lines for virtual testing and production simulations, aimed at reducing downtime and increasing efficiency [4][5] - GM's future vehicles will be built on NVIDIA DRIVE AGX, which can perform up to 1,000 trillion operations per second, facilitating the development of safe autonomous vehicles [5] Group 2: Leadership Statements - Mary Barra, GM's CEO, emphasized that AI optimizes manufacturing and enhances vehicle intelligence, merging technology with human ingenuity [3] - Jensen Huang, NVIDIA's CEO, highlighted the transformative impact of their partnership on transportation and manufacturing processes [3] Group 3: Event Information - NVIDIA will host a fireside chat during the GTC global AI conference to discuss the collaboration and its implications for automotive manufacturing and software development [6]