As Nvidia and its partners prepare for the upcoming GTC event, another AI infrastructure company, Cerebras Systems, is making strategic moves to expand its role in high-speed AI inference. ...Full Article
SUNNYVALE, Calif., March 11, 2025 -- Cerebras Systems today announced the launch of six new AI inference datacenters powered by Cerebras Wafer-Scale Engines. These state-of-the-art facilities, equipped with thousands ...Full Article
SUNNYVALE, Calif., March 11, 2025 -- Cerebras and Hugging Face today announced a new partnership to bring Cerebras Inference to the Hugging Face platform. HuggingFace has integrated Cerebras into ...Full Article
The intersection of AI and healthcare reached an exciting new milestone this week, as a new and groundbreaking genomic foundation model was unveiled at the JP Morgan Healthcare Conference ...Full Article
Cerebras Systems, a pioneer in wafer-scale processing, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories, has set another world record and important breakthrough in molecular dynamics ...Full Article
MUMBAI, India and ABU DHABI, United Arab Emirates, Sept. 10, 2024 -- G42, the UAE-based leading technology holding group, today announced that it will soon launch NANDA – a ...Full Article
SUNNYVALE, Calif., Aug. 27, 2024 -- Today, Cerebras Systems, a pioneer in high performance AI compute, announced Cerebras Inference. Delivering 1,800 tokens per second for Llama 3.1 8B and 450 ...Full Article
SUNNYVALE, Calif. and CAMBRIDGE, Mass., May 17, 2024 -- Cerebras Systems, a pioneer in accelerating generative AI, and Neural Magic, a leader in high-performance enterprise inference servers, announced the results ...Full Article
Condor Galaxy is an AI system recently debuted by Cerebras Systems and Middle Eastern cloud provider G42. The system has already been busy with training Jais, a 13-billion parameter ...Full Article
Training generative AI models is often expensive and fraught with challenges. These multi-billion parameter models demand months of training time on huge clusters of GPUs, directed by a team ...Full Article
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