Some clever networking hacks open the door AI search provider Perplexity's research wing has developed a new set of software ...

Characterizing Reasoning LLM Deployment on Edge GPUs” was published by researchers at NVIDIA. Abstract “Edge intelligence ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Co-developed by Anyscale and Microsoft, a new fully managed Microsoft Azure service—powered by Ray—delivers high performance, flexibility, and cloud-scale AI computing for enterprises.

The Google Cloud Certified Generative AI Leader exam validates your ability to understand, apply, and lead initiatives using Google Cloud’s AI and machine learning tools. It assesses your knowledge of ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

Super VC Marc Andreessen talks with Blake Masters and Amjad Masad, CEO and co-founder of Replit, a cloud-based coding ...

Thousands of entrepreneurs are trying to rebuild the economy around AI. I set out to see how they’re actually doing it.

NextSilicon, an Israeli startup backed by more than $300 million in funding, is advancing its challenge to the dominance of Nvidia, Intel, and AMD in high-performance ...

Abstract: Nowadays, the use of accelerators in high performance computing has become more common than ever before. The most used accelerators must be the Graphics Processing Unit (GPU). It has emerged ...