Struggling with stutters on your 8GB GPU? Valve's Natalie Vock just fixed Linux's dumb VRAM sharing, forcing browsers to the sidelines so games hog the fast memory they deserve.
Crimson Desert's launch skipped Intel Arc GPUs entirely, sparking refunds and rage. Now, patch 1.03.00 flips the script with full XeSS 3.0 support — but is it smooth sailing for Intel's underdogs?
India's National Supercomputing Mission delivered 37 beasts totaling 39 petaFLOPS. Yet the real story? Homegrown tech hovers frustratingly short of true independence.
Four months. That's all it took for OpenClaw to eclipse React's GitHub stardom with 250,000 stars. Nvidia's Jensen Huang isn't mincing words: it's the biggest software drop ever.
A game director's blunt X post just yanked Phantom Blade Zero from NVIDIA's DLSS 5 showcase. It's a rare public snub — and a shot across the bow for AI upscaling hype.
Forget fines. South Korea's just handed every mobile user unlimited basic data after massive telco breaches. It's a social license reset—or is it?
Everyone figured video codecs were maturing into irrelevance—AV1's free ride killing premiums. Then Chips&Media's CEO drops claims of 3 billion chips shipped. Hype or hardware hero?
Nvidia's tossing $2 billion at Marvell like it's pocket change, but this isn't about fancy ports—it's about owning the AI data center's veins. Twenty years in the Valley, and I've seen these 'partnerships' turn into ecosystems that crush rivals.
Deep in a blazing data center, VSORA's Jotunn8 chip devours inference workloads like a Norse giant feasting endlessly. No more data droughts—just pure, relentless AI power.
Boris Cherny, Claude Code's architect, just dropped his workflow bomb: five parallel AIs in one terminal. It's turning solo devs into dev armies—and shaking up Anthropic vs. OpenAI.
Picture a surgical robot crunching generative AI mid-operation, zero lag, zero fails. NVIDIA's IGX Thor makes that real—Blackwell power at the edge, but with industrial grit.
Everyone thought AI factories would hum along in the cloud, slurping public data. Nope—private hoards and IP paranoia demand zero-trust on your own turf, and NVIDIA's got a blueprint. It's clever. Mostly.
Everyone figured GTC would be another GPU spec bump. Instead, NVIDIA's shoving local AI agents onto your desk with RTX PCs and DGX Spark—bye-bye cloud bills, hello privacy questions.
QLC NAND's global cSSD market share? From 22% in 2025 to 61% in 2027, says IDC. SK hynix's betting big with 321-layer tech for Dell's AI PCs — but let's poke at the fine print.
Picture this: Nvidia cramming 1TB of HBM onto a single GPU. That's the Rubin Ultra's promise, exploding HBM demand skyward while custom base dies rewrite the rules.
Picture your phone's AI getting smarter overnight because Zuck's throwing billions at tents full of GPUs. Meta's no-holds-barred superintelligence sprint isn't just corporate drama—it's accelerating the tools we all use.
Picture this: 8,000 GPUs humming in unison on Kubernetes, jobs queued by trusty old Slurm. NVIDIA's not ditching their HPC roots—they're supercharging them.
Forget wrestling with app stores and device builds. NVIDIA's CloudXR.js hands enterprise XR to any web dev with a URL, potentially exploding adoption in training and digital twins.
Intel's dropping its Q1 2026 numbers on April 23, but don't expect fireworks. Twenty years covering this circus, I've seen enough earnings rituals to know: the real story's in the red ink.
Snapchat's churning 10 petabytes of A/B data daily—now 4x faster on GPUs. But who's really cashing in on this accelerated data processing boost?