41 results found
Nvidia's plan to establish an employee-funded Political Action Committee (NVPAC) signals a deepening involvement of tech companies in US policy, aiming to influence legislation particularly concerning the future of AI and data center development amidst public opposition.
Nvidia is extending its AI dominance beyond GPUs, focusing on system-level data orchestration within massive data centers. Post-earnings, the company's Vera Rubin architecture, including the Vera CPU, is proving crucial for efficient data management, optimizing performance and energy use. This shift towards smarter data traffic control marks a new competitive front in AI infrastructure, where Nvidia currently holds a commanding lead.
Open-weight AI companies are becoming prime acquisition targets in Silicon Valley, with Nvidia reportedly set to acquire Hugging Face for $13 billion. This follows Nvidia's $6 billion purchase of Poolside and Stripe's $7 billion acquisition of OpenRouter, signaling a strategic shift by tech giants to diversify AI investments and gain control over model development. These deals reflect a growing demand for cost-effective, customizable AI solutions and a desire to reduce reliance on dominant frontier labs. Experts predict increased adoption as AI workflows mature, fostering a more specialized and open AI ecosystem.
NVIDIA Nemotron 3.5 Lightning is an open-weights, hybrid MoE (Mamba-2 + MoE + Attention) LLM designed for efficient AI agent development. It supports 1M token context, offers speculative decoding methods like DSpark, and is optimized for NVIDIA Blackwell, Hopper, and Ampere GPUs. Developers can deploy it via vLLM, TensorRT-LLM, or SGLang, leveraging its advanced features like reasoning control and tool-calling through an OpenAI-compatible API.
Quick Verdict Nvidia's potential $250 billion financing for OpenAI's massive 10-gigawatt Ohio data center is a monumental move, signaling a profound shift in AI infrastructure. While promising OpenAI greater autonomy
Rumors suggest both Nvidia and AMD are set to raise GPU prices, driven by the AI arms race. Nvidia may hike prices by up to 30%, with AMD following at 10%, pushing consumer costs even higher. This bleak outlook means budget cards are also struggling, with the return of 4GB VRAM.
Verdict: A Promising, Necessary Bet on Transparency Nvidia's Open Secure AI Alliance isn't a product in the traditional sense, but a strategic initiative that stakes its claim on open-source principles as the answer to
Quick Verdict: A Resourceful 4K Refresh For gamers holding onto a high-end Nvidia Ampere GPU like the RTX 3090 and who happen to have a spare, lower-tier card such as an RTX 3050, this dual-GPU setup leveraging Lossless
Nvidia CEO Jensen Huang secured major deals in Japan for "physical AI," aiming to integrate advanced AI into factory floors and robotics. The partnerships involve Japan's government-backed Noetra initiative, a coalition of top robotics firms, and expanded collaboration with Toyota, positioning Japan to lead in AI-driven manufacturing.
Micron Technology has become a Wall Street favorite, with its valuation soaring amidst booming demand for AI memory chips, particularly High-Bandwidth Memory (HBM). Its stock surged over 236% in a month, briefly surpassing Meta and Tesla's market cap, driven by blockbuster earnings and strategic long-term agreements to mitigate market volatility.
AI video startup Higgsfield has launched Supercomputer 2.0, an autonomous agent framework for enterprise marketing. Built on NVIDIA technology, it claims adoption by 78 percent of Fortune 500 companies, aiming to automate full campaign lifecycles. The company also produced an AI-generated feature film in 14 days.
Quick Verdict: A Pragmatic Perspective on AI Risks In the rapidly evolving landscape of artificial intelligence, few figures hold as much sway as Jensen Huang, co-founder and CEO of Nvidia. His company is not just a
Amazon has officially become the No. 1 company on the Fortune 500 list for the first time in 13 years, dethroning Walmart. Reporting over $700 billion in 2025 revenue, this marks a historic shift for the tech giant. Other leaders like Microsoft, Alphabet, and Nvidia also achieved notable milestones.
TAIPEI – Nvidia CEO Jensen Huang kicked off Computex 2026 in Taipei on Monday, June 1, with a keynote address that delivered two significant announcements set to reshape both the artificial intelligence landscape and
Nvidia's N1 and N1X SoC specs have leaked, revealing powerful Arm-based chips with up to 20 cores and significant CUDA power. The N1X targets premium devices like MacBook Pro, while N1 aims for the midrange. This marks Nvidia's compelling return to Arm PCs, promising exciting new devices.
Our in-depth review of Pearl (PRL), the new AI-compute cryptocurrency, reveals an innovative concept quickly overshadowed by plummeting mining profitability. What began as a potential gold rush has rapidly transformed into a cautionary tale of diminishing returns, making Pearl a highly questionable investment for anyone eyeing their next big crypto windfall.
The narrative around AI capital expenditure (capex) often feels monolithic: NVIDIA, hyperscalers, data centers, power demand—all bundled into a single "AI infrastructure" idea. As fellow developers, we know real-world
A new phenomenon is sweeping the artificial intelligence landscape: the emergence of what AI veteran Oren Etzioni calls “Virgin Unicorns.” These are AI labs that have achieved billion-dollar-plus valuations and
GeForce Now expands its library with major titles like Forza Horizon 6 and the intriguing Zero Parades: For Dead Spies, offering high-fidelity gaming to a broader audience without requiring a top-tier local PC.
NVIDIA has committed over $40 billion to AI equity investments in the first four months of 2026, including a $30 billion stake in OpenAI. This strategy, which also includes significant investments in companies like CoreWeave, IREN, and Corning, aims to ensure compute capacity is built around NVIDIA's GPUs, influencing the entire AI value chain. While bolstering NVIDIA's data-center revenue, the aggressive approach raises questions about "circular financing" and potential regulatory scrutiny.
The Allen Institute for AI (Ai2) has launched a powerful new computing cluster, a major step in its $152 million OMAI project backed by Nvidia and the National Science Foundation. This system will develop open AI models for scientific research, emphasizing transparency and collaboration. The move reinforces Ai2's mission despite recent leadership changes.
Nvidia is accelerating the end-of-life (EOL) for several of its older Jetson AI processor modules, specifically those based on the TX2 and Xavier architectures. This decision, driven by a global shortage of LPDDR4
AI startup Thinking Machines Lab (TML) is rapidly expanding its talent, attracting key researchers like Weiyao Wang from Meta amidst a competitive, reciprocal talent exchange. TML also secured a multibillion-dollar Google Cloud deal for Nvidia's GB300 chips, bolstering its position and making it a prominent player in the AI landscape.
As AI models continue their exponential growth, memory capacity, bandwidth, and latency consistently present the most formidable challenges for hardware engineers. The need for larger models often forces developers into
AI chip maker Cerebras has refiled for an initial public offering (IPO), revealing a 75% revenue surge to $510 million and a $238 million profit last year. The move positions Cerebras amid a burgeoning wave of tech IPOs, including anticipated listings from SpaceX, OpenAI, and Anthropic.
