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The deals come as the DOD has doubled down on diversifying its exposure to AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models.
Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech AI conference examines how AI factories unlock new levels of scale, sustainability, and governance—positioning data…
As cloud workloads become more agentic and AI systems handle increasingly sensitive data, trust must be engineered directly into infrastructure. Azure Integrated HSM brings hardware‑enforced key protection into Azure, extending cryptographic trust from silicon to services through verifiable and transparent design. The post Enforcing trust and transparency: Open-sourcing the Azure Integrated HSM appeared first on Microsoft Azure Blog .
a quiet day lets us reflect on the growing implications of the inference age
a quiet day.
Azure Local scales Microsoft Sovereign Private Cloud, supporting AI and data workloads with full control, compliance, and disconnected operations. The post Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure Local appeared first on Microsoft Azure Blog .
Spud lives!
Princeton researchers have combined brain cells and advanced electronics into a single 3D device that can be programmed to recognize patterns using computational techniques. Past attempts at using brain cells to do computation have relied on 2D cultures grown in a petri dish or 3D clusters that are probed and monitored from outside. The Princeton device takes a different approach, working from the inside out.
Note: This episode was recorded just after AIE Europe, but before the Cursor-xAI deal.
Astronomers are turning to GPUs to find needles in the galactic haystack.
img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/What_is_a_TPU_social.max-600x600.format-webp.webp"Learn how Google’s TPUs power increasingly demanding AI workloads with this new video.
a quiet day lets us reflect on the top conversation that AI leaders are having everywhere.
In this post, we walk through building a scalable, event-driven transcription pipeline that automatically processes audio files uploaded to Amazon Simple Storage Service (Amazon S3), and show you how to use Amazon EC2 Spot Instances and buffered streaming inference to further reduce costs.
Today, Amazon SageMaker AInbsp; supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon SageMaker AI keeps your model developers focused on building accurate models, not managing infrastructure.
Google's newest TPUs are faster and cheaper than the previous versions. But the company is still embracing Nvidia in its cloud — for now.
Computer chips
Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by Nvidia's latest GB300 chips, TechCrunch has exclusively learned.
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