Relevance Lab CIS Level 2 Windows Data Science AMI for AWS RES
CIS Level 2 hardened Windows Server 2022 AMI with GPU-ready data science tools. Deploy a secure workspace with JupyterLab, RStudio, and PyTorch via AWS RES.
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CIS Level 2 hardened Windows Server 2022 AMI with GPU-ready data science tools. Deploy a secure workspace with JupyterLab, RStudio, and PyTorch via AWS RES.
Eliminate days of manual setup and hardening. This CIS Level 1 compliant, GPU-ready Windows AMI deploys a full data science workspace through AWS RES in minutes.
Launch a preconfigured Windows GPU workstation with RStudio, JupyterLab, PyTorch, and TensorFlow. No software charge - pay only for AWS infrastructure.
Relevance Lab’s PCS Migration Accelerator enables organizations to modernize HPC environments by migrating from AWS ParallelCluster to AWS PCS with minimal risk and no end-user disruption. This offering is designed for research, engineering, AI/ML, and HPC workloads seeking a fully managed, elastic HPC platform without operational burden.
Customers have a growing interest to use RES for research computing and high end engineering workloads for interactive desktops and clusters. While the RES enabled self-service portal is easy to use, the initial deployment, configuration and integration with existing systems is fairly complex. Relevance Lab makes this process frictionless for both new and existing RES customers. AWS Research and Engineering Studio (RES) Enablement Training - A Five-Day Training Plan at an attractive price that is designed to provide participants with a comprehensive understanding of AWS Research and Engineering Studio, from foundational concepts and deployment to advanced administration and daily usage. Each day will combine theoretical knowledge with practical demonstrations and exercises where applicable.