Nvidia

For a decade, Nvidia sold the world a simple story: GPUs are all you need. Training? GPUs. Inference? Also GPUs. That story built a $3 trillion empire. On March 16 at GTC 2026 in San Jose, Jensen Huang is expected to blow it up himself. Nvidia will reportedly unveil a dedicated inference processor — not a GPU — built on technology from Groq, the inference startup it absorbed in a $20 billion deal last December. OpenAI is lined up as the first major customer. And the implications for the entire AI hardware ecosystem are enormous. ...

The largest private investment in the history of technology just happened. Not the history of AI — the history of technology. OpenAI raised $110 billion in a single round, valued at $840 billion post-money. The investors: Amazon ($50B), Nvidia ($30B), and SoftBank ($30B). Three companies that together own the entire AI supply chain from silicon to cloud. This isn’t venture capital anymore. This is nation-state money flowing into a single company. ...

Jensen Huang isn’t satisfied owning the data center. Now he wants the airwaves. At Mobile World Congress 2026 in Barcelona, Nvidia unveiled a coalition of 13 major companies — Nokia, T-Mobile, Deutsche Telekom, Cisco, Ericsson, SoftBank, SK Telecom, BT Group, and more — all committed to building sixth-generation wireless networks on open, AI-native platforms. Not AI-assisted. Not AI-enhanced. AI as the foundation. This is Nvidia doing what Nvidia does best: establishing the platform layer that everyone else builds on, then collecting rent for the next decade. ...

The AI chip wars just escalated from skirmish to full-blown conflict. Meta and AMD announced a multiyear deal worth over $100 billion — six gigawatts of AMD computing power, plus warrants giving Meta up to 160 million AMD shares at a penny each. That’s roughly 10% of the entire company. Read that again. The company that owns Facebook, Instagram, and WhatsApp could soon own a tenth of its chip supplier. This isn’t a procurement contract. It’s a hostile restructuring of the AI hardware economy. ...

Let that number sink in. One hundred and ten billion dollars. Not a country’s GDP — though it’s close to a few. Not a public company’s market cap. That’s the amount of money OpenAI just raised in a single private funding round. On Friday, OpenAI announced the largest private funding round in history — a jaw-dropping $110 billion raise that values the ChatGPT maker at $730 billion pre-money. The round is anchored by three of the biggest names in tech: Amazon ($50B), Nvidia ($30B), and SoftBank ($30B). And the round isn’t even closed yet. ...

The AI cold war just got a lot colder. DeepSeek — the Chinese lab that shook the industry last year with models matching Western competitors at a fraction of the cost — has cut Nvidia and AMD out of its upcoming V4 launch. No early access. No optimization window. Instead, Huawei got a weeks-long head start to tune V4 for its own Ascend processors. This isn’t a technical decision. It’s a geopolitical signal flare. ...

The AI boom isn’t slowing down. It’s accelerating so fast that even Nvidia’s own forecasts can’t keep up. On Wednesday, Nvidia reported fiscal Q4 2026 results that didn’t just beat Wall Street estimates — they made them look quaint. Revenue hit $68.13 billion against expectations of $66.21 billion. Net income nearly doubled year-over-year to $43 billion. And then Jensen Huang’s team dropped a next-quarter forecast of $78 billion that left analysts scrambling to update their models. ...

If you needed proof the AI supercycle isn’t slowing down, Nvidia just handed it to you — on a $68 billion silver platter. Wednesday evening, the chipmaker reported fiscal Q4 2026 results that beat Wall Street across the board. Revenue hit $68.13 billion, blowing past the $66.21 billion consensus. Earnings per share landed at $1.62 versus the expected $1.53. Net income nearly doubled to $43 billion — in a single quarter. ...

Tomorrow evening, Nvidia drops the most consequential earnings report of 2026. And it’s not just about one chipmaker’s quarterly numbers — it’s the entire AI investment thesis going on trial. Nvidia isn’t a semiconductor company anymore. It’s the barometer for the AI economy. The single stock that tells you whether hundreds of billions in AI infrastructure spending are paying off or spiraling into speculative excess. With NVDA sitting at $191, a $4.62 trillion market cap, and an AI market rattled by Anthropic-triggered selloffs, the pressure is immense. ...

What if instead of running an AI model on a chip, you turned the model into the chip? That’s the bet Taalas just went public with — and the numbers are making the entire semiconductor industry sit up straight. This 25-person startup out of Toronto emerged from stealth with $169 million in funding and a working product called the HC1: a chip that hard-wires a large language model directly into silicon transistors. No software stack. No HBM memory. No liquid cooling. Just raw, physics-level inference. ...