The relentless march of Moore's Law in storage is taking a literal turn skyward. Samsung just unveiled a 900-layer V-NAND prototype, a jaw-dropping leap that redefines what we thought possible for data density.
Forget Nvidia's spin – H100 crushes GB200 NVL72 on reliability and TCO. Your next AI subscription? It'll cost more than you think.
Forget the boardroom battles. This means cheaper AI tools for you and me—or more excuses from Amazon as rivals lap them. AWS's gigawatt gamble with Anthropic's Trainium chips could flip the script.
Silicon Valley's been buzzing for HBM4 to rescue starving AI bandwidth. Synopsys just linked it up in silicon — first full-path validation at 9.2 Gbps. But does this fix the real bottlenecks?
Jensen Huang's full-platform sermon just got empirical backup. Nvidia's software tweaks propel MLPerf inference benchmarks to absurd new heights, leaving rivals in the dust.
National Robotics Week had us expecting more GPU sermons. Instead, NVIDIA drops physical AI bombshells — Isaac GR00T, Cosmos models, and sims that promise robots thinking and moving like pros. Hype machine in overdrive?
Jensen Huang just promised $1 trillion in revenue and AI supercomputers in orbit. Buckle up—it's peak NVIDIA delusion.
Intel just shelled out $14.2 billion to reclaim full control of its key Ireland fab. But why now, and what does it mean for the foundry wars?
One tweet. Zero fanfare. Intel dives into Musk's Terafab madness. But can a bailout baby deliver?
Everyone figured 2025 would be TSMC's gate-all-around victory lap. Instead, we got diamond heat sinks inside chips, stamped silicon fabs, and a U.S. policy gut-punch that exposes the fragility of innovation pipelines.
Imagine designing the next-gen chip without wasting a single wafer. VLSI 2025 just showed us digital twins making that real—from atoms to entire fabs—while Intel's 18A bets big on backside power.
NVIDIA's Nemotron 3 suite promises agentic AI that reasons, chats, and stays safe across modalities. But after 20 years watching Valley hype, I'm asking: who's really cashing in?
Imagine slipping on Apple Vision Pro and diving into a full-scale car design, powered by remote NVIDIA RTX beasts. No more watered-down models—this is spatial computing on steroids.
