Category: High Performance Computing

Heads up AWS Batch users! Learn how to get notifications when your job queue gets blocked so you can quickly troubleshoot and keep your workflows moving. Details in our blog.

ESG is now a boardroom issue. See how Databricks’ AI solution helps understand emissions data and meet new regulations.

Don’t sacrifice performance OR ease of use with your HPC storage. Learn how Mountpoint for Amazon S3 combines high throughput and low latency with the simplicity of S3.

AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge.

See how agent-based models, driven to scale by HPC in the cloud, are shedding new light on macroprudential policies with this post from Oxford’s Institute for New Economic Thinking.

Interested in eliminating friction between data science and engineering teams? Read this post to learn how Amazon successfully transitioned Jupyter Notebooks from the lab to production.

Balancing fixed budgets with fluctuating HPC needs is challenging. Discover a customizable solution for automatically setting weekly resource limits based on previous spending.

Interested in performing high-accuracy computational chemistry simulations faster? Check out this new post about Promethium, a solution from QC Ware that leverages AWS to accelerate simulations by up to 100x.

In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines.

Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we explain how to build an example Nextflow pipeline that performs ML model-training and inference for image analysis.