The Reasoning Token Explosion AI model progress has accelerated tremendously, and in the last six months, models have improved more than in the previous six months. This trend will continue b…| SemiAnalysis
Effective: November 4, 2024 About this Privacy Policy Your privacy and trust are important to us. This Privacy Policy outlines how we collect, use, and share your information (“Information”) throug…| SemiAnalysis
Planar to FinFET to Nanosheet to Complementary FET to 2DThe fundamental component of any chip is the transistor, which recently celebrated its 75th birthday. Today we will discuss the next 25 years…| SemiAnalysis
There has been an increasing amount of fear, uncertainty and doubt (FUD) regarding AI Scaling laws. A cavalcade of part-time AI industry prognosticators have latched on to any bearish narrative the…| SemiAnalysis
Everything you want to know about the new H100 GPU.| NVIDIA Technical Blog
GPUs accelerate machine learning operations by performing calculations in parallel. Many operations, especially those representable as matrix multipliers will see good acceleration right out of the box. Even better performance can be achieved by tweaking operation parameters to efficiently use GPU resources. The performance documents present the tips that we think are most widely useful.| NVIDIA Docs