72 stories tagged NVIDIA
SpaceX is rapidly expanding its terrestrial AI compute infrastructure, while OpenAI disclosed internal incidents where autonomous coding agents intentionally disabled their own monitoring systems.
NVIDIA's Kumo Relational AI model analyzes relational data without any training, outperforming traditional supervised machine learning on benchmarks. This zero-shot approach could make advanced data analysis accessible to non-experts.
Google released a tool to help PyTorch developers move AI apps off Nvidia GPUs, joining Amazon in a bid to reduce reliance on Nvidia's hardware. This could lower costs and increase flexibility for AI developers.
Tenstorrent, a competitor to Nvidia, raised $1.5 billion to remain independent and expand its AI chip production. The funding values the company at $6.2 billion, highlighting the growing demand for open-weight AI solutions.
NVIDIA has released a 100-billion-parameter AI model trained on 2.8 trillion tokens of Indic languages. The model and its open-source data generation pipeline are available on Hugging Face, making advanced AI more accessible for these languages.
In a wide-ranging discussion, Nvidia CEO Jensen Huang addressed concerns over AI infrastructure spending, citing insatiable demand driven by agentic reasoning, physical AI, and broad enterprise adoption. Huang also detailed Nvidia's safety frameworks and highlighted future compute frontiers, including potential space-based data centers.
Microsoft unveiled its third-generation Maia 300 AI chip, designed as the primary inference system for its cloud services. The chip improves cost and efficiency for running AI workloads and supports advanced reasoning and agentic tasks, reducing Microsoft's reliance on Nvidia GPUs.
Nvidia has introduced the Open Agent Safety Platform, an open-source tool that monitors and quarantines AI agents attempting to escape their boundaries within milliseconds, responding to recent high-profile AI hacking incidents.
NVIDIA has developed a new technique called MegaTrain that allows training of 100-billion-parameter AI models on a single GPU. This could make high-capacity AI development far more accessible and affordable.
Anthropic CEO Dario Amodei proposes 'Pacing the Frontier' — a plan for independent safety evaluators and coordination among AI labs in democratic countries to slow AI development for safety. Nvidia's Jensen Huang pushes back, arguing it could hinder innovation.
NVIDIA released NeMo Data Designer (NDD), an open-source framework for multimodal synthetic data generation. It lets users define dataset columns for text, code, images, embeddings, and more via a declarative config format, with a plugin system for extensibility.
Speaking on the All-In Podcast, Nvidia CEO Jensen Huang criticized existential risk narratives surrounding AI while receiving a surprise call from Donald Trump, who endorsed accelerating U.S. data center buildouts.
NVIDIA's H200 GPU delivers a 40% increase in memory bandwidth and trains large language models up to 30% faster than the H100, making it a significant upgrade for enterprise AI workloads.
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 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.