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Schedule Topology-Aware Workloads with SageMaker HyperPod
Today, we are excited to announce a new capability of Amazon SageMaker HyperPod task governance designed to optimize training efficiency and network latency for your AI workloads. SageMaker HyperPod task governance streamlines resource allocation and facilitates efficient compute resource utilization across teams and projects on Amazon Elastic Kubernetes Service (Amazon EKS) clusters.…
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Simplify SageMaker HyperPod Setup with One-Click Creation
Amazon SageMaker HyperPod offers a powerful solution for scaling distributed AI workloads. Today, Amazon is announcing an exciting new one-click cluster creation experience designed to accelerate setup and prevent common misconfigurations. This advancement ensures you can swiftly launch your distributed training and inference clusters complete with Slurm or Amazon Elastic Kubernetes Service…
AWS Tackles AI Infrastructure Challenges at Scale
The rapid expansion of generative AI across industries is creating unprecedented demands on AI infrastructure. Consequently, organizations are grappling with the challenge of supporting increasingly complex AI models for training and deployment. Traditional infrastructure solutions often struggle to meet these requirements, particularly concerning computational power, network bandwidth, and…
Optimize HyperPod Clusters with Fine-Grained Quotas
We’re excited to announce the general availability of fine-grained compute and memory quota allocation with HyperPod task governance. This new capability enables customers to optimize Amazon SageMaker HyperPod cluster utilization on Amazon Elastic Kubernetes Service (Amazon EKS), ensuring fair usage and facilitating efficient resource allocation across teams or projects. For those seeking to…
Train & Deploy Models on SageMaker HyperPod
Training and deploying large artificial intelligence (AI) models often demands significant distributed computing capabilities. However, managing these complex systems shouldn’t be a burden for data scientists and machine learning (ML) practitioners. The recently released command-line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod streamline how you utilize the…
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SageMaker HyperPod: Your Guide to Powerful AI
– Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model (FM) training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training FMs, reducing training time by up to 40%. SageMaker HyperPod offers persistent clusters with built-in resiliency, while…
