SAN FRANCISCO — March 5, 2025 — Ceramic.ai emerged from stealth today with software for foundation model training infrastructure designed to enable enterprises to build and fine-tune generative AI models more efficiently. Founded by Anna Patterson, former Google VP of Engineering and Gradient Ventures founder, Ceramic.ai said it improves AI model training speed and cost-efficiency, […]

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Problems associated with GPU deployment – interminable order wait times, high prices and, particularly, dire need – are leading to new GPU access strategies. An article in today’s Wall Street Journal, “Your Gaming PC Could Help Train AI Models,” reports that underused GPUs “inspire startups to stitch together .....

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SAN JOSE, July 24, 2024 — GPU cloud company Lambda has unveiled Lambda 1-Click Clusters, designed for AI engineers’ and researchers’ short-term access to multi-node GPU clusters in the cloud for large-scale AI model training. Lambda said the launch marks the first time such access to NVIDIA H100 Tensor Core GPUs on 2 to 64 […]

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Specialty AI processor company Cerebras Systems today announced a collaboration with Dell Technologies to deliver AI compute infrastructure for generative AI. It includes a new memory storage solution powered by Dell and AMD ....

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Boston – June 08, 2023 – Testing and digital quality company Applause today announced capabilities in assisting clients with the training, testing and validation of generative AI models. Applause has been empowering global organizations to deliver advanced and reliable AI-driven solutions for many years, and is now at the forefront of helping companies test their […]

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Palo Alto, Calif., June 8, 2023 – Today Monster API is launching its platform to provide developers access to GPU infrastructure and pre-trained AI models at a lower cost than other cloud-based options, designed to deliver ease of use and scalability. It utilizes decentralized computing intended to enable developers to efficiently create AI applications, saving […]

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Open engineering consortium MLCommons has released new results from MLPerf Training v2.0, which measures how fast various platforms train machine learning models. The organizations said the latest MLPerf Training results “demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems….” As it has done with previous […]

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The post Cerebras Claims Record for Largest AI Models Trained on a Single Device appeared first on High-Performance Computing News Analysis | insideHPC.

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