Journalism begins where hype ends

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The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity. We do not yet know which."

—Stephen Hawking

How NVIDIA is using Europe’s JUPITER Supercomputer to tackle Quantum Computing Errors

NVIDIA used the JUPITER supercomputer at Germany’s Jülich Supercomputing Centre to simulate a 104-qubit fault-tolerant quantum computing protocol under realistic hardware-noise conditions.

NVIDIA has used Europe’s JUPITER supercomputer to run a record 104-qubit simulation of a fault-tolerant quantum computing protocol under realistic hardware-noise conditions, helping researchers evaluate errors and more resource-efficient methods for quantum computing.

NVIDIA Launches Nemotron 3.5 Transcribe, an Open-Weight AI Model for 40 Languages

NVIDIA Nemotron 3.5 Transcribe combines speech transcription, speaker attribution and translation across 40 languages in an open-weight AI model.

NVIDIA has released Nemotron 3.5 Transcribe, an open-weight speech AI model that supports 40 languages and combines transcription, speaker attribution, translation and contextual audio understanding in one model.

NVIDIA and Mistral AI Partner to Advance AI-Powered Engineering

NVIDIA and Mistral AI are collaborating to develop AI-powered engineering workflows, physics simulation tools and benchmarks.

NVIDIA and Mistral AI are collaborating to develop AI-powered engineering workflows using accelerated computing, physics simulation and 3D modeling technologies.

NVIDIA Unveils OpenShell to Secure AI Agents, Introduces DSX Pod AI Factory System

Jensen Huang, Nvidia's CEO, presents the company's AI strategy at the GTC Berlin event on October 21, 2026, where Nvidia unveiled OpenShell for AI agent security and its DSX Pod AI factory system.

Nvidia CEO Jensen Huang unveiled OpenShell, an open-source runtime designed to secure autonomous AI agents, and DSX Pod, a modular AI factory system aimed at accelerating data centre deployment, at the company’s GTC event in Berlin on October 21, 2026.

NVIDIA Pledges $250 million in Compute Access to Strengthen UKs’ Agentic Safety Research

NVIDIA has pledged $250 million in computing resources over five years to advance AI agent safety and security research in the UK.

NVIDIA will provide $250 million in computing resources over five years to support AI agent safety and security research in the UK, including projects involving the University of Oxford, UCL and Imperial College London.

Multiverse Computing Unveils Quasar 438B, Citing Benchmark Lead over Mistral and NVIDIA

Quasar 438B, Multiverse Computing's newly introduced reasoning model for enterprise AI applications and coding.

The company said Quasar 438B scored 43 on Artificial Analysis’ Intelligence Index, ahead of Mistral Medium 3.5 at 30, NVIDIA Nemotron 3 Ultra at 38 and Inkling at 42.

NVIDIA to Acquire Hugging Face for $12.93 Billion; Deal Focuses on Open Source AI

NVIDIA announced acquisition of Hugging Face for roughly $13 billion.

NVIDIA has agreed to acquire Hugging Face for $12.93 billion. CEO Jensen Huang said the open-source AI platform will stay independent of NVIDIA hardware, while NVIDIA scales its infrastructure for more than 18 million developers sharing millions of models and datasets.

NVIDIA’s $6 Billion Poolside Deal to Compete with Domestic and Chinese Frontier AI Models

NVIDIA logo representing the chipmaker at the center of a major AI model push through its $6 billion Poolside deal.

More than 100 Poolside employees, including engineers, are expected to join NVIDIA and contribute to its Nemotron open-weight AI models.

NVIDIA Backs OpenAI’s Ohio AI Data Center with up to $105 Billion

OpenAI, SB Energy and NVIDIA are partnering on a large-scale AI data center campus in Pike County, Ohio.

NVIDIA will provide credit support for 4.25 IT-GW of initial capacity at PORTS-Pike, where OpenAI will be the customer and SB Energy will build, own and operate the data center.

Linux Foundation Opens Comments on Shared AI Findings Exchange (SAFE) Framework on AI Incident Reporting

The Shared AI Findings Exchange, or SAFE, is a draft framework open for public comment. It has not been ratified and binds no one.

A working group convened by NVIDIA has drafted SAFE, a framework under which companies would confidentially report AI agent security incidents into a shared pool.