
AI SOFTWARE
Designed for Data Scientists, by Data Scientists, the Core Scientific Plexus™ software stack allows you to run a private cloud deployment and take advantage of your existing infrastructure investment.

AI PLATFORM
Combing leading edge hardware with the rich feature set of the Plexus™ software stack, Core Scientific’s Cloud for Data Scientists™ offers access to a co-located AI PaaS powered by leading-edge HPC infrastructure.
WHY CORE SCIENTIFIC
Enable Data Scientists to do their Best Work, While Maximizing ROI on your AI Platform
- Focus on outcomes – free of operational and infrastructure hassles.
- Manage workloads from a single pane of glass – across on premise, colocation centers, and the cloud.
- Easily scale – from current to future business needs.
- Leverage bare metal, next-gen GPUs in roof-local deployments with your data lakes to do large training workloads, run verification tests on low-cost infrastructure, and deploy worldwide from tensor processing units – all from a single pane of glass.
- Maximize ROI – optimize your workloads for cost or time
- Trust your work is secure - our platforms are SOC 2 Type 1 certified.
INDUSTRIES WE SERVE

Defense & Aerospace

Energy

Financial Services

Healthcare

Manufacturing

Oil & Gas
CONTACT US FOR A DEMO
Are you ready to ensure ROI on your AI investment? We can help.
No matter how complex the problem, our AI Platforms can empower your AI teams to solve it. Sign up for a demo, to learn how Core Scientific can help you:
- Remove expensive egress fees or ingress fees
- Save up to 30% on your bottom line.
- Maximize your Data Scientists time and help them do what they do best.
- Help make IT teams the heroes while they manage team quotas, craft custom apps, create cloud-based compute clusters, or define user access controls.
- Gain access to best in class NVIDIA DGX and RTX hardware, including NGC containers for instant access.
- Run an app on any cloud or your own location without a difference in experience.
- Have peace of mind: the Core Scientific team has 100+ years of combined leadership experience in technology in companies like Microsoft, Amazon, Dell, IBM, and Intel.