The AI chip market just got a lot more interesting. Cerebras Systems — the company that builds AI chips the size of dinner plates — filed updated paperwork raising its IPO price range to $150–$160 per share. That’s up from an already ambitious $115–$125 range set just last week, putting the company on track to raise up to $4.8 billion in what’s shaping up to be the biggest IPO of 2026. ...
AI has an energy problem. A massive one. Data centers now consume roughly 1,000 terawatt-hours of electricity annually — about as much as Japan. Every ChatGPT query, every image generation, every AI-powered search burns through watts at a rate that would make your electric bill weep. So when a team at the University of Cambridge publishes a chip design in Science Advances that could cut AI energy consumption by up to 70%, it’s time to pay attention. ...
What if the next great leap in AI hardware didn’t come from shrinking transistors — but from printing flexible circuits that literally speak the brain’s language? A team at Northwestern University just proved that’s possible. Published in Nature Nanotechnology, their research demonstrates printed artificial neurons that generate electrical patterns realistic enough to activate living mouse brain cells. Not simulate. Not approximate. Activate. This sits at the collision point of neuroscience, materials science, and AI’s looming energy crisis — and it deserves your attention. ...
Everyone’s talking about Nvidia’s new chips. But there’s a quieter, arguably more important war happening underneath all the GTC 2026 keynote spectacle — and it’s being fought by two Korean companies most people can’t tell apart. Samsung Electronics and SK hynix are locked in an increasingly fierce battle to supply the memory chips that make AI possible. Without high-bandwidth memory (HBM), Nvidia’s fancy GPUs are just expensive paperweights. And at GTC 2026 this week, both companies showed up swinging. ...
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. ...