60 stories tagged NVIDIA · page 2 of 3
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.
At its developer conference, Nvidia's Jensen Huang described a completely new way of using laptops, powered by AI that anticipates your needs and adapts to your workflow. This could make computers feel more like intuitive personal assistants than traditional tools.
NVIDIA released Nemotron 3.5, an open-source AI model that helps businesses customize safety filters. This tool lets companies adapt AI content moderation to local laws and cultural norms.
NVIDIA's Nemotron 3.5 ASR model can now be fine-tuned for specific languages, accents, or domains. This makes it more accurate for specialized applications like medical or legal transcription.
Nvidia is teaming up with Microsoft, Dell, and HP to bring AI agents to everyday PCs, aiming to capture a significant share of the $200 billion CPU market. This could make advanced AI tools accessible to millions of users without requiring technical expertise.
NVIDIA has released Cosmos 3, an open-source AI model designed for physical reasoning and action. This breakthrough could revolutionize how robots and AI systems interact with the real world.
Nvidia's CEO admitted the company has largely lost the AI chip market in China to Huawei. This shift could impact global AI development and supply chains. Huawei's Ascend series is now the go-to choice for Chinese AI developers, while Nvidia focuses on other markets.
AI chip startup Groq is raising $650 million to focus on AI inference, the process that makes AI responses faster and more accurate. This move comes after Nvidia’s massive $20 billion deal in the same space.
Nvidia is pouring $150 billion into Taiwan to make it the global center of AI chip production. This move comes as the US struggles to meet its own AI hub ambitions, highlighting Taiwan's critical role in the tech supply chain.
NVIDIA has introduced Nemotron-Labs, a new type of AI model that generates text at near light-speed. This could revolutionize how we interact with AI assistants and tools. The models are open-source, making them accessible to everyone.
Nvidia's CEO Jensen Huang announced a new $200 billion market for AI agent CPUs. This shift could make Nvidia a key player in the future of AI-driven automation.
NVIDIA has fine-tuned its Cosmos Predict 2.5 model to generate realistic robot videos. This advancement could revolutionize robot training and simulation.
NVIDIA engineers and researchers are using OpenAI's Codex with GPT-5.5 to develop production systems and quickly turn research ideas into working experiments. This collaboration is making AI development faster and more accessible.