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NVIDIA & Oracle to Build DOE’s Largest AI Supercomputer with 100,000 Blackwell GPUs NVIDIA and Oracle have announced a collaboration to build the U.S. Department of Energy’s largest AI supercomputer. The project will involve two new systems at Argonne National Laboratory, named Solstice and Equinox. The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs, while the Equinox system will include 10,000. Together, these systems are expected to deliver a combined 2,200 exaflops of AI performance. The supercomputers will be used to accelerate scientific discovery and research in areas such as healthcare and materials science. This initiative is part of a broader effort to advance the United States’ leadership in artificial intelligence. ...

Top Tech Stories OpenAI & NVIDIA Forge $100B Partnership for AI Supercomputing Infrastructure OpenAI and Nvidia have announced a landmark partnership to build OpenAI’s next-generation AI infrastructure, deploying at least 10 gigawatts of Nvidia systems. As part of the agreement, Nvidia will make a progressive investment of up to $100 billion as each gigawatt of infrastructure is completed. This strategic move highlights the trend of AI leaders securing massive computing capacity through diverse hardware and cloud partnerships. In a related deal, OpenAI has also entered a multiyear agreement with AMD to supply up to 6 gigawatts of its MI450 GPUs, which includes an option for OpenAI to acquire a stake of approximately 10% in AMD. ...

AI Boosts Bitcoin Mining Profitability Post-Halving Artificial intelligence and machine learning are fundamentally reshaping the profitability of the Bitcoin mining industry. In the wake of the 2024 halving event, which decreased block rewards, miners are increasingly deploying AI to optimize operational efficiency. Reports indicate that AI-driven predictive maintenance is extending hardware lifespan by 40%, significantly reducing downtime and replacement costs. Furthermore, machine learning models are optimizing energy consumption by dynamically adjusting hashrate based on real-time electricity prices, a strategy shown to boost returns by 12-18%. AI is also enabling innovative uses for waste heat from mining operations, such as in greenhouse agriculture, which has been demonstrated to cut heating costs by 30%. ...

AI & Machine Learning: Alibaba’s Omni-Modal AI and Quantum Material Discovery This week in AI and Machine Learning, key advancements include the release of Alibaba’s omni-modal AI, Qwen3-Omni, a new tool from MIT called SCIGEN that uses AI to discover quantum materials, a novel AI framework from Florida Atlantic University for managing complex systems, and a breakthrough in healthcare using AI to predict spinal cord injury outcomes from blood tests. ...

Tech News Roundup: AI Breakthroughs, Java 25, and Quantum Leaps Rice University Accelerates AI Innovation with Google Partnership and New GPU Engine Rice University is significantly advancing its artificial intelligence capabilities as part of its 10-year strategic plan to become a global leader in responsible AI application. In partnership with Google, the university is providing faculty, staff, and students with broad access to advanced AI platforms like Gemini and NotebookLM. To bolster its research infrastructure, Rice has invested in the Rice AI Networked GPU Engine, a powerful computational resource equipped with advanced NVIDIA GPUs for analyzing large datasets in fields like computational biology and climate modeling. The university has also launched grant initiatives to support the integration of AI into its curriculum and has established the new Rice AI Hub to provide strategy, policies, and training. ...

Tech News Roundup: Anthropic, Quantinuum, and Kubernetes Updates This week’s technology digest highlights major developments across the industry, from a landmark legal settlement in AI that could reshape how models are trained, to massive funding in quantum computing, and crucial updates for cloud-native infrastructure and open-source software. Anthropic’s $1.5B Settlement Over AI Training Data Sets Industry Precedent AI company Anthropic has agreed to a $1.5 billion settlement in a major lawsuit concerning the use of pirated books to train its AI models. The lawsuit, filed by authors, alleged that the company used their copyrighted works without permission to develop its chatbots. This settlement represents a significant moment for the AI industry and could establish new standards regarding the use of copyrighted materials for training large language models (LLMs). ...

Esaote Unveils AI-Powered Cardiac Ultrasound at ESC 2025 for Enhanced Diagnostics Medical imaging company Esaote is set to introduce significant AI enhancements to its cardiac ultrasound technology at the European Society of Cardiology (ESC) 2025 conference. The system utilizes machine learning algorithms to improve image clarity and diagnostic accuracy. This innovation in AI-driven medical imaging aims to enhance cardiac workflows and enable quicker, more reliable interpretation of results for healthcare professionals. ...

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...