Core Scientific and AWS are partnering to bring our customers a fully managed, easy to use HPC and AI cloud service based on AWS. With the Core Scientific and AWS Partnership, our customers will benefit with:
- Optimized usage of on-prem and cloud resources resulting in improved productivity and TCO
- Optimal large scale cloud deployments for complex HPC workloads
- Fully managed, easy-to-use, HPC & AI cloud services based on AWS
Designed for Data Scientists, by Data Scientists, the Core Scientific Plexus™ software stack is your single pane of glass that allows you to take advantage of your existing infrastructure investment, and optimize for what matters most to you: time or cost.
PLEXUS & AWS
Plexus HPC-ops control plane provides turn-key integration with AWS Computing infrastructure. This enables customer to manage, orchestrate and run HPC workloads backed by best-in-class AWS computing infrastructure. Our Fine-grained-scheduler (FGS) supports the capability to run embarrassingly parallel workloads over course-grained compute, therefore maximizing customer ROI.
Plexus is a hybrid-cloud platform that combines the right infrastructure in AWS with existing on-prem resources customers may own. With our single-pane-of-glass, Plexus provides a consistent workflow across infrastructure, reducing the need to retrain end-users.
Running Petascale Seismic Applications on AWS
UnitX Delivers Data Science Workshops, Powered by Core Scientific Plexus
UnitX, one of our strategic technology partners in Saudi Arabia delivering a regional solution, conducted a series of AI-focused workshops using their hybrid multi-cloud platform called Sentient, which is powered by Plexus. The workshops showed how it is easy to create high-performing AWS popup clusters and deploy multi-node engineering workloads on them with minimal expertise, powered by Core Scientific’s Platform as a Service: Plexus.
In the course of the workshop with scientists and engineers, UnitX needed to easily create a multi-node HPC cluster experience for simulations experiments and testing. The best solution was to do this on AWS, using the Plexus feature to pop-up on demand multi-node AWS clusters. This typically complex procedure had cluster’s ready to use in seconds with a very user friendly access.
We know AI projects take time, budget and lots of persistence. We're here to help you make the most of your AWS implementation and your AI infrastructure.
- Reduce Total Cost of Ownership of your AI Environment.
- Improve the Efficiency of your Data Science and MLOps teams.
- Optimize ROI for HPC Compute on your large-scale cloud deployments.
Contact us to find out how we can help.