Remove tag supercomputers
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NVIDIA Studio Lineup Adds RTX-Powered Microsoft Surface Laptop Studio 2

NVIDIA

with Ray Reconstruction , an NVIDIA supercomputer-trained AI network replaces hand-tuned denoisers to generate higher-quality pixels between sampled rays. Show us a photo or video of how one of your art projects started — and then one of the final result — using the hashtag #StartToFinish and tagging @NVIDIAStudio for a chance to be featured!

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. Most experts categorize it as a powerful, but narrow AI model.

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Semiconductor Titans: Inside the World of AI Chip Manufacturing and Design

Topbots

Semiconductors, or chips, are the heartbeats of modern electronics, from the simplest household gadgets to the most complex supercomputers powering generative AI applications. The construction of its Fab 18, a facility legendary for producing the world’s most advanced chips, including Nvidia’s H100s, came with a $20 billion price tag.

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Introducing spaCy v3.1

Explosion

Named entity recognition isn’t the right tool for this problem, since an entity recognizer typically predicts single token-based tags that are very sensitive to boundaries. Thanks to Carlos Rodríguez Penagos and the Barcelona Supercomputing Center for their contributions for Catalan and to Kenneth Enevoldsen for Danish.

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Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

Flipboard

EC2 Trn1 UltraClusters deliver up to 6 exaflops of compute, literally an on-demand supercomputer, with a pay-as-you-go usage model. Trn1 UltraClusters can host up to 30,000 Trainium devices and deliver up to 6 exaflops of compute in a single cluster. In this post, we use some HPC tools like Slurm to ramp an UltraCluster and manage workloads.

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Deon Nicholas, Co-Founder & CEO of Forethought – Interview Series

Unite.AI

Well, we also Triage, which is the name of our second product, route issues, tag them, make sure they get to the right agent in the right channel, the right time, so you can deploy that. When phones came around, you now have a supercomputer in your pocket. But then that automation only handles 50% of issues, so to speak.

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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries

NVIDIA

Until recently, using vision AI to support inspection required algorithms to be trained on thousands of manually collected and tagged photos of grid assets, with training data constantly updated for new components. For example, researchers at the University of Florida have access to one of the world’s fastest supercomputers in academia.