World’s Fastest AI Chip with 4 Trillion Transistors

Cerebras Systems has doubled its existing world record of fastest AI chip with the introduction of the Wafer Scale Engine 3. The WSE-3 delivers twice the performance of the previous record-holder, the Cerebras WSE-2, at the same power draw and for the same price. Purpose built for training the industry’s largest AI models, the 5nm-based, …

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Cerebras Wafer Scale AI Chip Enables $100 Million for 4 Exaflop Supercomputers

Anastasi interviewed the CEO of Cerebras Andrew Feldman. They talk about the New Cerebras Supercomputer. The wafer scale AI chip is a great match for the need for fast compute and large memory requirements of the large language model AI like ChatGPT. They have made them easy to program with PyTorch. Wafer engine 1 was …

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Cerebras 4 Exaflop AI Training Supercomputer

Cerebras Systems and G42, the UAE-based technology holding group, announced Condor Galaxy, a network of nine interconnected supercomputers, offering a new approach to AI compute that promises to significantly reduce AI model training time. The first AI supercomputer on this network, Condor Galaxy 1 (CG-1), has 4 exaFLOPs and 54 million cores. Cerebras and G42 …

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AI Scaling Laws Guide Building to Superhuman Level AI

Scaling laws are as important to artificial intelligence (AI) as the law of gravity is in the world around us. Cerebras makes wafer scale chips that are optimized for AI. Cerebras wafer chips can host large language models (LLMs).They are using open-source data that can be reproduced by developers across the world. James Wang was …

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Cerebras-GPT for Open Source and More Efficient Large Language Models

Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency. Cerebras makes wafer scale computer chips. Cerebras-GPT has faster training times, lower training costs, and consumes less energy than any publicly available model to date. All models …

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