Optimizing

a , a deep learning model is executed on a dedicated GPU accelerator using input data batches it receives from a CPU host. Ideally, the GPU — the dearer resource — needs to...

AI/ML models will be an especially expensive endeavor. A lot of our posts have been focused on a wide range of suggestions, tricks, and techniques for analyzing and optimizing the runtime performance of AI/ML workloads....

grows, so does the criticality of optimizing their runtime performance. While the degree to which AI models will outperform human intelligence stays a heated topic of debate, their need for powerful and expensive...

Standard Large Language Models (LLMs) are trained on a straightforward objective: Next-Token Prediction (NTP). By maximizing the probability of the immediate subsequent token , given the previous context, models have achieved remarkable fluency and...

Oct. 16 is World Food Day, a world campaign to rejoice the...

The role of Artificial Intelligence in technology firms is rapidly evolving;  AI use cases have evolved from passive information processing to proactive agents able to executing tasks. In keeping with a March 2025 survey...

The e-commerce industry has seen remarkable progress over the past decade, with 3D rendering technologies revolutionizing how customers interact with products online. Static 2D images are not any longer enough to capture the eye...

A ProblemAs more large firms put money into AI agents, viewing them as the longer term of operational efficiency, a growing wave of skepticism is emerging. While there’s excitement concerning the potential of those...