Red Cloud computing: More capabilities, lower cost
Contact: Paul Redfern
Cell: (607) 227-1865
FOR RELEASE: August 19, 2019
The Cornell Center for Advanced Computing (CAC) has implemented new cloud computing and data storage technologies for the Cornell research and education community that provide better capabilities at lower cost.
Cornell's on-premise cloud—Red Cloud—now features larger instances, increased storage capacity, and NVIDIA GPUs.
- Users can request instances with up to 28 cores and 240GBs of RAM
- Request persistent disk storage (volumes) backed by Ceph storage with more than 1 petabyte raw capacity
- Choose instances featuring up to 4 NVIDIA Tesla V100 GPUs (14 cores with 1 GPU, 28 cores with 2 GPUs, 42 cores with 3 GPUs, or 56 cores with 4 GPUs)
- Manage their cloud systems using a Web console, command line client, or any library supported by the OpenStack API
- Get fast and consistent performance because Red Cloud CPU cores and RAM are not oversubscribed—an Intel Xeon processor core or NVIDIA GPU is behind each core on the virtual servers.
Red Cloud exploratory accounts are available for free:
- Red Cloud exploratory accounts are available to Cornell students, faculty, and staff to help you get started (165 core hours, 50GB storage, and 1-hour consulting).
Red Cloud subscription fees have been reduced 25%:
- A $300 subscription provides 8,585 core hours (plus 50GB storage and 1-hour consulting with your first subscription).
Data storage fees have been reduced 50%:
- .10 per GB/per year for Red Cloud Ceph storage (available in 50GB increments)
- .05 per GB/per year for Archival Storage (available in 1 terabyte increments at $50.00/TB/year).
Optional consulting is available to make your research application cloud-ready:
- CAC builds ready-to-use cloud images and containerizes applications for portability across clouds (Red Cloud, AWS, Azure, Google Cloud, etc.). Learn more.
For more information, visit:
- Red Cloud
- Services & Rates. Besides Red Cloud computing and storage, CAC services include HPC computing, web hosting for research applications, databases, data visualization, programming, code improvement, custom online training to broaden impact, and collaborating with faculty to make their research proposals more competitive.
- How to Start a Project.
Questions? Please contact email@example.com.