This post was contributed by Akshit Arora (NVIDIA), Peter Dykas (NVIDIA), Aman Shanbhag (AWS), Sean Smith (AWS), Pierre-Yves (AWS) Today we’ll take you on a step-by-step guide to help you to create a cluster of p5.48xlarge instances, using …
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Launching distributed GPT training? See how AWS ParallelCluster sets up a fast shared filesystem, SSH keys, host files, and more between nodes. Our guide has the details for creating a Slurm-managed cluster to train NeMo Megatron at scale. …
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Simulations provide critical insights but running them takes specialized people, which can slow everyone down. We show how a Simulation Assistant can use LLMs and agents to start these workflows via chat so you can get results sooner. Read …
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Genomics community: rejoice! Seqera + AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers (on the fly if you wish) for your workflows – in the cloud or not, using Nextflow, or not. …
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See how researchers are using ML to try to predict aerodynamics and airflow for concept vehicle designs orders of magnitude faster than traditional methods. Today we dive into the metrics for the work we’ve been doing with some key …
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Aerospace and automotive companies are speeding up their product design using AI. In this post we’ll discuss how they’re using machine learning to shift design cycles from hours to seconds using surrogate models. Read the Post on the AWS …
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We’re excited to share how we’re involved in launching the High Performance Software Foundation to increase access to and adoption of HPC. By bringing together key players to collaborate, we can lower barriers and accelerate development of …
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Do you wish you could get CFD results for your latest design iteration in seconds rather than days? Work on new machine-learning techniques might take your CFD simulations from days down to seconds. Today, we discuss an open collaborative …
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