Cerebras CS-3 vs. Nvidia B200: 2024 AI Accelerators Compared
In the fast-paced world of AI hardware, the Cerebras CS-3…
Cerebras CS-3: the world’s fastest and most scalable AI accelerator
Today Cerebras is introducing the CS-3, our…
Key Insights from the 1st Multilingual Workshop
At NeurIPS 2023, we kicked off our inaugural workshop on…
Sparsity Made Easy – Introducing the Cerebras PyTorch Sparsity Library
We release our PyTorch-based sparsity library allowing ML…
Introducing gigaGPT: GPT-3 sized models in 565 lines of code
GigaGPT is Cerebras’ implementation of Andrei Karpathy’s…
Cerebras Pioneers Ethical AI Development through Collaborative AI Initiatives
Today, Cerebras proudly revealed our pivotal role as a…
Cerebras Software Release 2.0: 50% Faster Training, PyTorch 2.0 Support, Diffusion Transformers, and More
Today we are excited to announce Cerebras software release…
How we fine-tuned Llama2-70B to pass the US Medical License Exam in a week
New open-access model by M42 outperforms GPT-3.5 in…
BTLM-3B-8K: 7B Performance in a 3 Billion Parameter Model
Cerebras and Opentensor introduce a new standard for…
Accelerating Large Language Model Training with Variable Sparse Pre-training and Dense Fine-tuning
We reduced pre-training FLOPs by 64% using sparsity. To the…
Variable Sequence Length Training for Long-Context Large Language Models
We show it is possible to accelerate the training for large…
Introducing Condor Galaxy 1: a 4 exaFLOPS Supercomputer for Generative AI
Cerebras, in partnership with G42 unveils CG-1, a 4…
SlimPajama: A 627B token, cleaned and deduplicated version of RedPajama
Today we are releasing SlimPajama – the largest…
Efficient Large-Scale GPT Training Using a Cerebras Wafer-Scale Cluster
Cerebras has built a platform for push-button training of…
Fine-Tuning with Cerebras AI Model Studio Launchpad
Cerebras shares research showing smaller foundation models…
