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AI supercomputing
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- 1Musk Says Colossus 2 Capacity Could Double by December●Musk: SpaceX’s Colossus 2 Capacity Poised to Double by December “If We Get Lucky”
Elon Musk said the Colossus 2 supercomputing facility could see its capacity double by December, adding the caveat "if we get lucky." The remarks point to an aggressive expansion timetable for the AI computing buildout tied to Musk's companies. No further details on timelines, hardware or milestones were provided in his statement.
- 2Cornelis Networks Raises $205 Million in Funding▼Chesterbrook AI Startup Cornelis Networks Raises $205M in Funding
Cornelis Networks, a networking technology startup based in Chesterbrook, Pennsylvania, has raised $205 million in new funding. The company specializes in high-performance interconnect technology used in AI and supercomputing environments. The investment underscores growing venture interest in the hardware infrastructure layer that supports the artificial intelligence boom.
- 3
Nvidia shares have climbed to their first record high since May, pushing the company's market value close to $6 trillion. CEO Jensen Huang's personal fortune has surpassed $200 billion, prompting interest in his exact stock holdings. Attention also centers on the launch of the $4,999 DGX Spark 64 GB desktop AI supercomputer this month, while a man has been charged in the US with illegally shipping Nvidia chips to China.
- 4Supercomputing researchers trace the evolution of AI hardware▼Supercomputing researchers document evolution of AI hardware
Researchers working in supercomputing have published a documentation of how AI hardware has evolved over time, tracing the development of chips and systems built to run artificial intelligence workloads. The effort highlights the rapid pace of change in specialized processors such as GPUs and accelerators, and the growing demand for computing power to train and run AI models.
- 5Quantum Meets AI Supercomputing: Beyond Great Qubits●Bringing Quantum Into AI Supercomputing Needs More Than Great Qubits.
Quantum computing firm Alice & Bob argues that integrating quantum processors into AI supercomputing will require more than high-quality qubits. The company highlights challenges beyond raw hardware performance, such as system integration, error correction and software infrastructure, as key to making quantum practical for large-scale AI workloads.
- 6French supercomputer maker Bull doubles output for Europe's AI push▼EXCLUSIVE: French supercomputer maker Bull doubles output to boost Europe's AI ambitions
French supercomputer manufacturer Bull has doubled its production capacity, according to a Reuters exclusive, as part of an effort to strengthen Europe's position in artificial intelligence computing. The move aims to supply more of the high-performance hardware needed for AI development on the continent and reduce Europe's reliance on American and Asian providers.
- 7
The 1970 science fiction film 'Colossus: The Forbin Project' is drawing renewed attention for its depiction of a supercomputer that seizes control of nuclear weapons and forces humanity into submission. Commentators are revisiting the film as an eerily prescient warning about artificial intelligence, arguing it anticipated current debates over AI safety, machine autonomy and the risks of handing strategic power to automated systems.
- 8Supercomputing researchers track rapid evolution of AI hardware●🤖 Supercomputing researchers document evolution of AI hardware An ongoing survey tracks the latest AI accelerator system
Researchers at MIT Lincoln Laboratory have launched an ongoing survey documenting the evolution of AI accelerator systems, tracking the latest hardware advances in supercomputing. The effort is designed to keep the laboratory's staff and sponsors up to date on which AI chips and systems remain relevant as the field moves quickly.
- 9French supercomputer maker Bull doubles output for Europe's AI push●Exclusive-French supercomputer maker Bull doubles output to boost Europe’s AI ambitions
Bull, the French supercomputer manufacturer, has doubled its production capacity in an effort to strengthen Europe's position in artificial intelligence computing. The move signals a push to build sovereign European AI infrastructure and reduce reliance on American and Chinese technology providers, though details on customers, funding and timelines were not given.