In today’s data-driven world, organizations face the challenge of efficiently managing and consolidating vast amounts of information from diverse sources. Whether it’s for analytics, machine learning (ML), or other business-critical …
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When seeking to improve machine learning model performance, hyperparameter tuning is often the go-to recommendation. However, this approach faces significant limitations, particularly for complex models requiring extensive training times. …
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The AWS Heroes program recognizes a vibrant, worldwide group of AWS experts whose enthusiasm for knowledge-sharing has a real impact within the community. Heroes go above and beyond to share knowledge in a variety of ways in developer …
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AWS announces significant price reductions of up to 45 percent for NVIDIA GPU-accelerated EC2 instances, increasing accessibility to these high-demand resources for generative AI workloads amid industry-wide GPU shortages. Read the Post on …
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In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on …
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In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on …
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Amazon FSx for Lustre Intelligent-Tiering storage class provides cost-effective, virtually unlimited elastic file storage for ML and HPC workloads that automatically optimizes costs by tiering data based on access frequency. Read the Post …
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AWS introduces specialized Model Context Protocol (MCP) servers for Amazon ECS, EKS, Finch and AWS Serverless, providing real-time contextual responses and service-specific guidance to guide AI assisted application development. Read the …
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