72 stories tagged NVIDIA · page 2 of 3
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.
NVIDIA and Hugging Face have released NVIDIA NeMo Automodel and 🤗 Diffusers, enabling developers to fine-tune video and image AI models at scale. The open-source tools simplify custom model development, reducing the need for deep technical expertise.
NVIDIA has released a massive open-source dataset designed to train AI agents. This data could accelerate the development of more capable AI assistants for everyday tasks.
NVIDIA is creating AI models that are optimized to work seamlessly with their hardware. This approach could make AI systems faster and more efficient for everyone.
Etched, a rival to Nvidia in AI chips, has secured $1 billion in sales and a $5 billion valuation. The company says the sales are under contract for inference systems powered by its chip, marking a significant shift in the competitive landscape for AI hardware.
Wall Street is betting big on Micron, a U.S. memory chip maker, as the next AI stock to boom like Nvidia. The company's chips are crucial for AI hardware, and investors see huge potential.
OpenAI unveiled Jalapeño, a custom AI inference chip built with Broadcom, marking a major step toward reducing reliance on Nvidia. The move highlights a broader industry trend by Google, Apple, and SpaceX to avoid single-supplier risk and could lead to faster, cheaper AI services.
Major companies like OpenAI and SpaceX are designing their own AI chips to reduce reliance on Nvidia. This shift could lower costs and improve performance for AI applications.
NVIDIA's new NeMo AutoModel makes customizing AI models faster and easier. It automates the fine-tuning process, which could help businesses and developers create specialized AI tools without needing deep technical expertise.
SpaceX has signed a massive deal with open-source AI lab Reflection AI for AI computing power. This partnership will give Reflection AI access to cutting-edge hardware for developing advanced AI models.
Nvidia introduced a cooling system that reduces water use in data centers. However, this doesn't address the larger issue of water consumption by fossil fuel power plants that supply AI infrastructure.
Groq confirmed a $650 million funding round after Nvidia's reported $20B deal that effectively acqui-hired a chunk of its leadership and engineers, rather than a full acquisition. Groq is now expanding its neocloud business and hiring new executives to refill its ranks.
Amazon's cloud division, AWS, is exploring selling its custom AI chips to other data centers. This move aims to challenge Nvidia's dominance in the AI hardware market, with CEO Andy Jassy calling it a potential $50 billion opportunity.