75 stories tagged NVIDIA · page 3 of 4
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.
Nvidia has already invested $40 billion in AI startups and companies in 2026. This massive funding push highlights the company's commitment to shaping the future of artificial intelligence.
RelayFreeLLM is a free AI gateway that now supports NVIDIA's free catalog and offers advanced features like session affinity and output normalization. It simplifies accessing multiple AI providers through a single endpoint.
The Department of Defense has signed agreements with Nvidia, Microsoft, and AWS to deploy AI on classified networks. This move follows a dispute with Anthropic over AI model usage terms, highlighting the DOD's push for vendor diversification.
The Pentagon has signed agreements with leading AI firms to use their tools in classified settings, notably excluding Anthropic. This move underscores the growing importance of AI in defense and national security.
NVIDIA's new Nemotron 3 Nano Omni model supports long-context multimodal intelligence across documents, audio, and video. It is designed for developers to build advanced AI agents.
NVIDIA showcases Gemma 4's Variable-Length Attention (VLA) running on the Jetson Orin Nano Super. This highlights the model's efficiency and flexibility in edge computing applications.
Google Cloud has signed a multi-billion-dollar agreement with Mira Murati's Thinking Machines Lab for AI infrastructure using Nvidia's GB300 chips. This deal underscores the growing collaboration between tech giants and independent AI labs.
Nvidia's focus on AI has alienated its core gaming community, with gamers expressing frustration over GPU shortages and prioritization. The company faces a delicate balancing act between its lucrative AI business and traditional gaming market.
NVIDIA has open-sourced a new OCR model that supports multiple languages and leverages synthetic data for training. The model is designed for speed and accuracy in text recognition tasks.