Home » GPU
A Paradigm Shift with CUDA Tile On December 4, 2025, NVIDIA released CUDA Toolkit 13.1, unveiling what the company calls the largest and most comprehensive update to the CUDA platform since its inception. At the heart of this release is the launch of CUDA Tile — a tile-based programming model designed to simplify GPU programming…
Read More1. Summary NVIDIA’s continuous innovation across its GPU architectures, spanning from Volta to the latest Blackwell, has been foundational in propelling advancements in artificial intelligence. These architectures provide the computational backbone for a wide spectrum of AI workloads, from traditional deep learning to the most complex large-scale generative AI models. Each successive generation introduces specialized…
Read MoreThe rapid rise of AI-driven innovation has made GPUs a foundational component of modern computing infrastructure. From model training and large-scale inference to real-time analytics and production deployments, organizations increasingly rely on high-performance GPUs to remain competitive. Yet, efficient GPU resources management remains a significant challenge, particularly when balancing costs, fluctuating workloads, and the need…
Read More
– Upgrading H100 to H200 Semiconductor giant Nvidia introduced its latest artificial intelligence chip, the H200, designed to support training and deployment across various AI models. An upgraded version of the H100 chip, the H200 boasts 141GB of memory, focusing on enhancing “inference” tasks. The chip demonstrates a notable improvement of 1.4 to 1.9 times…
Read More