Lenovo'sThinkSystem SR680a V4doesn't just perform—it explodes with AI power, thanks to Nvidia'sB200GPUs. We're talking4nmchips with a mind-boggling208 billion transistors. Boost? Try11x...

FrontierLarge Reasoning Models (LRMs)crash into an accuracy wall when tackling overly intricate puzzles, even when their token budget seems bottomless.LRMsexhibit this weird scaling pattern: they fizzle out as puzzles get tougher, while, curiously, simpler models often nail the easy stuff with flair..

Amazon'sCEO sounds the alarm: AI is gearing up to decimate office jobs. He urges employees to sharpen their skills or risk getting the axe, all while Amazon unleashes a cavalcade of over1,000generative AI projects...

Welcome to the jungle of customer support automation, fueled byAmazon BedrockandLangGraph. These tools juggle the circus act of ticket management, fraud sleuthing, and crafting responses that could even fool your mother. Integration with the likes ofJiramakes for a dynamic duo. Together, they tackle..

3FSisn't quite matching its own hype. Yes, it boasts a flashy8 TB/s peak throughput, but pesky network bottlenecks throttle usage to roughly 73% of its theoretical greatness. Efficiency’s hiding somewhere, laughing. A dig intoGraySortshows storage sulking on the sidelines, perhaps tripped up by CRAQ..

Meta's Llama4models, Scout and Maverick, strut around with17B active parametersunder a Mixture of Experts architecture. But deploying onGoogle Cloud's Trillium TPUsor A3 GPUs? That's become a breeze with new, fine-tuned recipes. Utilizing tools likeJetStreamandPathways? It means zipping through infe..

AWS chops up to45%from Amazon EC2 NVIDIA GPU prices. Now your AI training costs less even as GPUs play hard to get...

DeepSeek-R1flips the script on training LLMs. Armed withGRPO, it challenges the industry heavies like OpenAI's o1 by playing smart with custom data and cleverly designed rewards. Imagine this: a humble 1.5B model, running on merely asingle H100, clocks in at an 80% build pass rate. It’s nibbling at ..

Turns out, Reasoning AIs use a single test compute unit to pack the punch of something 1,000 to 10,000 times its size—an acrobatics act impossible before the might of GPT-4.Noam Brown spilled the beans on Ilya's hush-hush 2021 GPT-Zero experiment, which flipped his views on how soon we'd see reasoni..

Graviton4just cranked up the juice to600 Gbps. In the grand race of public cloud champions, it's gunning straight for Nvidia's AI kingdom, powered by the formidableProject Rainier...