60 stories tagged NVIDIA
Nvidia has agreed to acquire Hugging Face, the leading open-source AI model platform, for $13 billion. The deal integrates Hugging Face's 300,000+ model library with Nvidia's GPU infrastructure, potentially reshaping how developers build and deploy AI applications.
The latest episode of the Moonshots podcast reviews NVIDIA's record revenue, OpenAI's custom hardware benchmarks, China's focus on world models, and emerging labor data surrounding AI adoption.
Nvidia CEO Jensen Huang declared on the company's earnings call that Nvidia had achieved Artificial General Intelligence (AGI), but immediately dismissed the milestone as 'senseless,' highlighting the tech industry's lack of consensus on what AGI actually means.
Nvidia is set to acquire Hugging Face, the popular open-source AI hub, for $12.9 billion. This move could reshape the AI landscape by combining Nvidia's hardware prowess with Hugging Face's software ecosystem.
OpenAI CEO Sam Altman recently conceded that societal inertia and institutional lag are slowing the real-world impact of AGI, even as AI leaders track rapid advances in autonomous agents and rising competition from open-weight models.
Forensic investigators confirmed that a Russian drone equipped with Nvidia's Jetson Orin AI chip autonomously targeted and killed three civilians in Ukraine, intensifying global debate over the use of AI in lethal autonomous weapons.
Nvidia is investing $1.5 billion in a SoftBank subsidiary that builds data centers, guaranteeing its chips will power an upcoming OpenAI facility. The deal locks in Nvidia's hardware for one of the most anticipated AI data center projects.
Groq, once focused on AI chips, has raised $350 million to expand into a neocloud business. This shift includes building data centers powered by Nvidia chips, marking a significant change in the company's strategy.
NVIDIA released MegaTrain, a tool that lets researchers train AI models with up to 100 billion parameters on a single H100 GPU, potentially reducing training time and cost by up to 50%.
Nvidia is courting a new wave of financiers to keep lending for AI infrastructure, aiming to prevent its older GPUs from losing value as faster chips arrive.
NVIDIA has introduced MegaTrain, a tool that allows training of massive AI models on a single GPU. This could make advanced AI development far more accessible to researchers and small teams.
In a wide-ranging interview with Axios, Nvidia CEO Jensen Huang dismissed fears of catastrophic AI risks and massive job losses, arguing that open models and expanding hardware infrastructure will drive unprecedented economic growth.
Investor Gavin Baker argues that recent AI equity sell-offs misreflect real-world demand, as token growth, GPU rental spot prices, and hyperscaler cash flows continue to accelerate.
VanEck CEO Jan van Eck shares his perspective on AI market valuations, highlighting vertically integrated tech giants over single-model labs while offering insights into portfolio strategies amidst growing fiscal deficits.
The Open Secure AI Alliance, spearheaded by Nvidia, has grown to over 120 member companies in its first week and is already proposing open standards for defending against AI agents.
Nvidia CEO Jensen Huang launched an initiative championing open-weight AI models, prompting a sharp response from Anthropic's Dario Amodei as top frontier labs join forces to push for federal review processes in Washington.
Nvidia has developed AI agents that automate key parts of chip design, cutting the process from months to weeks. This could make cutting-edge chips cheaper and more widely available.
Nvidia and Microsoft, alongside SpaceX and IBM, launched the Open Secure AI Alliance to develop open-source AI security tools. The initiative excludes major AI developers like OpenAI, Google, and Anthropic, and aims to defend against threats from frontier AI models.
Safe Superintelligence, founded by former OpenAI chief scientist Ilya Sutskever, has emerged from two years of stealth with a long-term partnership with Nvidia. The collaboration provides access to Nvidia's GPUs and software to accelerate research into safe, powerful AI systems.
AMD has unveiled Helios, a new rack-scale AI system designed to rival Nvidia's offerings. The system will start shipping to customers later this year, giving businesses and researchers a high-performance alternative for large-scale AI workloads.
NVIDIA has open-sourced a suite of simulation tools for training AI in realistic physical environments, aiming to accelerate robotics and automation research. The tools include advanced physics engines and high-fidelity 3D environments, making high-quality simulation accessible to more developers.
Nvidia has released Cosmos 3 Edge, an open-source AI model designed to run on everyday devices like smartphones and smart home gadgets, enabling real-time, offline AI capabilities.
Nvidia is building Japan's first national AI supercomputer, called FRONTIER, to accelerate scientific research in climate science, medicine, and materials science. The project marks a major step in national AI infrastructure and raises questions about how countries should invest in sovereign AI capabilities.
NVIDIA's Nemotron 3 Embed achieved the #1 overall ranking on the Retrieval-Augmented Benchmark (RTEB), a key test for agentic retrieval. This advancement could make virtual assistants and AI tools more accurate and reliable by improving how they find and understand complex information.