Alembic melted GPUs chasing causal A.I. — now it's running one of the fastest supercomputers in the world

Alembic raises $145M to scale causal AI and build one of the world’s fastest private supercomputers, challenging ChatGPT with ...

You'll code faster and spend less with OpenAI's new GPT-5.1 update - here's how

So, bottom line, if OpenAI can substantially reduce the cost of API calls and still deliver AI value, as it seems to have ...

Pepperdata Launches Optimization for AI Infrastructure, Delivers up to 30% Savings on GPUs

Pepperdata's new groundbreaking, automated optimization solution to reduce the cost of running AI workloads on GPUs is available today!
TheServerSide

DP-100 Practice Tests on Data Scientist Associate Exam Topics

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
TMCnet

FPT Empowers Developers to Fast-Track AI Innovation with AI Notebook Running On NVIDIA Accelerated Computing

HANOI, Vietnam, Nov. 5, 2025 /PRNewswire/ -- FPT, a global ICT corporation and an NVIDIA Preferred Partner, today introduced ...
IEEE

How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities

Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...
IEEE

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...