News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
AMD will invest up to $5 billion in Anthropic to expand the AI company's computing power. Under the agreement, Anthropic will deploy up to 2 gigawatts of AMD's Instinct MI450 AI GPUs using the chipmaker's new Helios rack-scale system. The first gigawatt is expected to be deployed in the first half of 2027.
Microsoft and Mistral have expanded their strategic partnership with a multi-billion-dollar agreement to build AI infrastructure across Europe. Mistral will deploy thousands of Nvidia Vera Rubin GPUs, and Microsoft will use that capacity for its cloud and AI services. Mistral's Medium 3.5 and OCR 4 models are now available in Microsoft Foundry, with Medium 3.5 also in Copilot Studio. The deal targets regulated industries like finance, healthcare, and manufacturing, allowing companies to run Mistral models through Azure Local in the cloud, on-premises, or offline. Microsoft President Brad Smith emphasized Europe's need for powerful AI without sacrificing data control.
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Nvidia is promoting its new Vera Rubin chip system, which combines CPUs and GPUs into a single platform. The company is positioning itself as a supplier of complete AI systems, not just GPUs. New benchmarks show significant performance and efficiency gains, with early customer OpenAI already using a rack.
NVIDIA announced that its GPUs with Confidential Computing are now used for confidential inference in Apple's Private Cloud Compute (PCC) as Apple expands PCC beyond its own data centers to Google Cloud. The integration, unveiled at Apple's WWDC 2026, uses NVIDIA Blackwell GPUs to support server-side inference for Apple Foundation Models, built by Apple and Google using technologies behind the Gemini family of models. The hardware-based security layer ensures that no one, including system builders, can access user data during processing.
SpaceX has secured another major compute deal ahead of its IPO, this time with Google. The agreement, revealed in a regulatory filing, sees Google paying $920 million per month from October 2026 through June 2029 for access to approximately 110,000 NVIDIA GPUs and other components. The deal mirrors a similar arrangement between SpaceX and Anthropic announced in May.
A GitHub project provides a hands-on workshop for building a full GPT training pipeline. Users write code for tokenization, transformer architecture, training loop, and text generation to train a 10 million parameter model on a laptop in under an hour. Designed for a single session, it uses character-level tokenization on Shakespeare data and supports Apple Silicon, NVIDIA GPUs, or CPU.
Amazon Web Services has released G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. These instances offer up to 96 GB of GDDR7 memory per GPU and support for large models like GPT-OSS-120B on a single node. They provide up to 2.3x better inference performance than G6e instances, with doubled GPU memory and higher networking speeds.
Allbirds, the shoe company once valued at $4 billion, sold its assets for $39 million and now plans to shift to artificial intelligence. An investor will provide $50 million to buy GPUs and rebrand the firm as NewBird AI. The stock jumped nearly 600 percent to $16.99 on the announcement day.