Meta is using more than 100,000 Nvidia H100 AI GPUs to train Llama-4 — Mark Zuckerberg says that Llama 4 is being trained on a cluster “bigger than anything that I’ve seen”

Meta is using more than 100,000 Nvidia H100 AI GPUs to train Llama-4 — Mark Zuckerberg says that Llama 4 is being trained on a cluster “bigger than anything that I’ve seen”

Mark Zuckerberg said on a Meta earnings call earlier this week that the company is training Llama 4 models “on a cluster that is bigger than 100,000 H100 AI GPUs, or bigger than anything that I’ve seen reported for what others are doing.”… Article Source https://www.tomshardware.com/tech-industry/artificial-intelligence/meta-is-using-more-than-100-000-nvidia-h100-ai-gpus-to-train-llama-4-mark-zuckerberg-says-that-llama-4-is-being-trained-on-a-cluster-bigger-than-anything-that-ive-seen

IBM Unveils Granite 3.0 Models, Outperforms Llama 3.1 

IBM Unveils Granite 3.0 Models, Outperforms Llama 3.1 

IBM has launched Granite 3.0, the latest generation of its large language models (LLMs) for enterprise applications. The Granite 3.0 collection includes several models, highlighted by the Granite 3.0 8B Instruct, which has been trained… Article Source https://analyticsindiamag.com/ai-news-updates/ibm-unveils-granite-3-0-models-outperforms-llama-3-1/

Meta Llama 3.1 generative AI models now available in Amazon Bedrock – AWS

Meta Llama 3.1 generative AI models now available in Amazon Bedrock – AWS

The most advanced Meta Llama models to date, Llama 3.1, are now available in Amazon Bedrock. Amazon Bedrock offers a turnkey way to build generative AI applications with Llama. Llama 3.1 models are a collection of 8B, 70B, and 405B… Article Source https://aws.amazon.com/about-aws/whats-new/2024/07/meta-llama-3-1-generative-ai-models-amazon-bedrock

Llama 3.2 models from Meta are now available on AWS, offering more options for building generative AI applications

Llama 3.2 models from Meta are now available on AWS, offering more options for building generative AI applications

All of the new Llama 3.1 models demonstrate significant improvements over previous versions, thanks to vastly increased training data and scale. The models support a 128K context length, an increase of 120K tokens from Llama 3. This means 16… Article Source https://www.aboutamazon.com/news/aws/meta-llama-3-2-models-aws-generative-ai

Llama 3.2 models from Meta are now available in Amazon SageMaker JumpStart | Amazon Web Services

Llama 3.2 models from Meta are now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs),… Article Source https://aws.amazon.com/blogs/machine-learning/llama-3-2-models-from-meta-are-now-available-in-amazon-sagemaker-jumpstart/

AWS Weekly Roundup: Jamba 1.5 family, Llama 3.2, Amazon EC2 C8g and M8g instances and more (Sep 30, 2024) | Amazon Web Services

AWS Weekly Roundup: Jamba 1.5 family, Llama 3.2, Amazon EC2 C8g and M8g instances and more (Sep 30, 2024) | Amazon Web Services

Every week, there’s a new Amazon Web Services (AWS) community event where you can… Article Source https://aws.amazon.com/blogs/aws/aws-weekly-roundup-jamba-1-5-family-llama-3-2-amazon-ec2-c8g-and-m8g-instances-and-more-sep-30-2024/

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker | Amazon Web Services

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker | Amazon Web Services

This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step in developing powerful AI systems that can understand and generate human-like text. By exposing models… Article Source https://aws.amazon.com/blogs/machine-learning/efficient-pre-training-of-llama-3-like-model-architectures-using-torchtitan-on-amazon-sagemaker/