Learn how to deploy AI models at scale with @AWS using NVIDIA’s NIM and Amazon EKS! This step-by-step guide shows you how to create a GPU cluster for inference. Don’t miss part 1 of this 2-part blog series! Read the Post on the AWS Blog …
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AWS Batch multi-node parallel jobs can now run on Amazon EKS to provide gang scheduling of pods across nodes for large scale distributed computing like ML model training. More details here. Read the Post on the AWS Blog Channel
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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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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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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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Last Friday was International Women’s Day (IWD), and I want to take a moment to appreciate the amazing ladies in the cloud computing space that are breaking the glass ceiling by reaching technical leadership positions and inspiring others …
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No more guessing if GPU capacity will be available when you launch ML jobs! EC2 Capacity Blocks for ML let you lock in GPU reservations so you can start tasks on time. Learn how to integrate Caacity Blocks into AWS ParallelCluster to …
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