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SpaceX, Reflection AI Sign $150M Monthly Compute Deal
Reflection AI will pay $150 million a month beginning July 1, 2026 through 2029 for immediate access to Nvidia's latest GB300 AI chips and supporting hardware across SpaceX's Colossus 2 data center near Memphis, Tennessee.
Groq Raises $650M, Hires Execs After Nvidia Deal
What does an AI company do after one of those not-acqui-hire deals? Groq raised money, is leaning into its neocloud business, and is hiring new execs.
Nvidia's New Cooling System Reduces Data Center Water Use
Nvidia announced a new cooling system that cuts water use inside the data center. But it does nothing to address AI's biggest water use — fossil fuel power plants.
NVIDIA's DiffusionGemma-26B: Advanced AI Tool on Hugging Face
NVIDIA's DiffusionGemma 26B: A Cutting Edge AI Model on Hugging Face NVIDIA's DiffusionGemma 26B represents a groundbreaking addition to the AI landscape, now a…
NVIDIA SkillSpector: AI Security Scanner for Vulnerabilities
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
NVIDIA Nemotron 3 Ultra: 550B Parameters for AI Infrastructure
NVIDIA Nemotron 3 Ultra: Revolutionizing AI Infrastructure with 550B Parameters The NVIDIA Nemotron 3 Ultra is a cutting edge AI model designed to push the boun…
NVIDIA Nemotron 3 Ultra: 550B Parameters, A55B, BF16
NVIDIA Nemotron 3 Ultra: Unleashing the Power of 550B Parameters with A55B, BF16 The NVIDIA Nemotron 3 Ultra represents a groundbreaking advancement in AI techn…
NVIDIA's Nemotron 3.5 ASR Streaming: Real-Time Audio Transcription
NVIDIA's Nemotron 3.5 ASR Streaming: Revolutionizing Real Time Audio Transcription NVIDIA's Nemotron 3.5 ASR Streaming is a cutting edge solution designed to co…
NVIDIA Cosmos: Open Platform for Physical AI Development
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
NVIDIA Qwen3.6-35B-A3B-NVFP4: AI Infrastructure Advancements
NVIDIA Qwen3.6 35B A3B NVFP4: Revolutionizing AI Infrastructure The NVIDIA Qwen3.6 35B A3B NVFP4 stands as a testament to the relentless pursuit of AI infrastru…
Nvidia's AI Agent PCs: Revolutionizing the $200B CPU Market
If Nvidia has cracked a way to bring AI agents easily, safely, and usefully to the masses, it could — and should — be big.
NVIDIA Cosmos3: Revolutionizing Text-to-Image AI
Revolutionizing Text to Image AI: Unveiling NVIDIA Cosmos3 In the rapidly evolving world of artificial intelligence, NVIDIA has once again set a new benchmark w…
NVIDIA Cosmos3: AI Tool Converts Images to Video
NVIDIA Cosmos3: Transforming Images into Dynamic Videos with AI NVIDIA has once again pushed the boundaries of artificial intelligence with the introduction of …
Nvidia Cosmos3-Super AI Infrastructure Unveiled
Nvidia Cosmos3 Super: Revolutionizing AI Infrastructure Nvidia has introduced the Cosmos3 Super, a groundbreaking AI infrastructure designed to push the boundar…
NVIDIA Cosmos3-Nano: Revolutionizing AI Infrastructure
NVIDIA Cosmos3 Nano: Revolutionizing AI Infrastructure The NVIDIA Cosmos3 Nano is setting new standards in AI infrastructure, delivering unparalleled performanc…
Groq Aims to Raise $650M for AI Inference Focus After Nvidia Deal
Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios.
Amazon and Snowflake's $6B AI Chip Deal: Boost for AWS
Snowflake has signed a new, enormous five-year deal with Amazon to secure chips for AI usage. Nvidia is once again being put on notice.
NVIDIA's LocateAnything-3B: Revolutionizing AI Object Detection
NVIDIA's LocateAnything 3B: Revolutionizing AI Object Detection NVIDIA has recently introduced LocateAnything 3B, a groundbreaking model designed to significant…
NVIDIA PiD: Revolutionizing AI Infrastructure on Hugging Face
NVIDIA PiD: Revolutionizing AI Infrastructure on Hugging Face NVIDIA PiD, the latest innovation in AI infrastructure, is designed to enhance the capabilities of…
NVIDIA's Nemotron Labs Diffusion 14B: Revolutionizing AI
NVIDIA's Nemotron Labs Diffusion 14B: Revolutionizing AI NVIDIA's introduction of Nemotron Labs Diffusion 14B marks a significant milestone in the field of arti…
Nvidia's Record Quarter: $43B in Startup Holdings, Growth to Slow
Nvidia announced another record revenue figure after market close on Wednesday, but forecasted that revenue growth would slow in the following quarter.
Nvidia CEO Predicts $200B Market for AI CPUs
The next big thing for Nvidia will be CPUs for AI agents, $200 billion worth, CEO Jensen Huang predicts.
NVIDIA AI Blueprints: Video Search and Summarization
Suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
Foxconn Hacked by Ransomware Group, AI Tools Used
A ransomware group has claimed responsibility for hacking the electronics manufacturing giant Foxconn and is attempting to extort the company.
Nvidia Invests $40B in AI Equity Deals in 2023
Nvidia continues to be a big investor in the AI ecosystem.
Pentagon Partners with Nvidia, Microsoft, and AWS for AI on Classified
The deals come as the DOD has doubled down on diversifying its exposure to AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models.
Nvidia's Nemotron-3 Nano: Revolutionizing AI Reasoning
Nvidia's Nemotron 3 Nano: Revolutionizing AI Reasoning Nvidia's latest innovation, the Nemotron 3 Nano , is set to transform the landscape of AI reasoning. This…
NVIDIA Nemotron 3 Nano: 30B Parameter AI Model Released
NVIDIA Unveils Nemotron 3 Nano: A 30B Parameter AI Model NVIDIA has introduced the Nemotron 3 Nano, a state of the art AI model boasting 30 billion parameters. …
Nvidia's Nemotron-3 Nano Omni: 30B A3B Reasoning BF16
Nvidia's Nemotron 3 Nano Omni: 30B A3B Reasoning with BF16 The Nvidia Nemotron 3 Nano Omni, branded as a high performance reasoning model packed with 30 billion…
Nvidia Exec: AI Currently More Expensive Than Human Workers
Nvidia’s vice president of applied deep learning, Bryan Catanzaro, recently stated that for his team, “the cost of compute is far beyond the costs of the employees,” highlighting that AI is currently more expensive than human workers. This challenges the narrative that widespread tech layoffs (including Meta’s planned cut of \~8,000 jobs and Microsoft’s voluntary buyouts) signal an imminent replacement of humans by AI. An MIT study from 2024 supports this, finding that AI automation is economically viable in only 23% of roles where vision is central, and cheaper for humans in the remaining 77%. Despite heavy AI investment—Big Tech has announced $740 billion in capital expenditures so far this year, a 69% increase from 2025—there is still no clear evidence of broad productivity gains or job displacement from AI. AI spending is driving up costs, with some executives like Uber’s CTO saying their budgets have already been “blown away.” Experts describe the situation as a short-term mismatch: high hardware, energy, and inference costs make AI less efficient than humans right now, though future improvements in infrastructure, model efficiency, and pricing models could tip the balance toward greater economic viability in the coming years.
AI's Personal Revolution: Threat to Big Tech's Dominance?
There are many people feeling anxious—rightly so—about their own future because of the impressive advances in AI. If we stop to think about it, five years ago this wasn’t a concern for almost anyone, whether individuals or companies. It was something that appeared “out of nowhere” and caused such a massive disruption that giants like Google and Microsoft had to rethink their strategies. OpenAI has existed since 2015, quietly working in an unusual direction compared to the rest of the industry, and when ChatGPT took off globally, the revolution gained real momentum. Today, there’s a lot of talk about the subsidized costs of AI and how this will be unsustainable in the long run—that the bubble will burst, and so on. And that’s where I disagree: to me, there are smaller projects happening around the world, focusing on things that the big players can’t currently afford to prioritize. One example would be optimizing models or personal hardware in such a way that you could run them on your own computer without needing million-dollar equipment. If a large company were to achieve this, I’d bet on Apple or Nvidia—that is, hardware-focused companies. Apple, in particular, seems very suspicious to me, since it hasn’t made major moves during the AI hype and has remained quite quiet on the subject. Just remember that computers existed long before they became PCs (personal computers). Many people didn’t believe that an average person would ever need a computer at home. And the revolution came when computers became personal and accessible products. To me, something similar could happen at some point—and it could cause significant losses for companies that are currently investing massive amounts of money in expanding data centers to process AI.