Why Choose ConcertIM?
ConcertIM provides a multi-tenant solution for HPC & AI workloads for research customers.
We're backed by over 20 years of industry experience through our exclusive partnership with Alces. From leveraging this relationship we have combined tried-and-tested methodologies with innovative products to create next generation HPC & AI services.
What We Provide
Empower your research computing service by working with ConcertIM to get the tools you need for delivering the best experience to your end-users.
Simplified Deployment
Simplify the deployment of research environments for popular workloads without complexities driven
Efficient Sharing
Share resources between user workloads in a flexible and efficient manner going beyond scheduler controls
Secure Environments
Sandbox environments so users can run multiple independent workloads across your shared platform
Effective Budgeting
Allocate and manage budgets between user groups and workloads
Carbon Impact
Generate meaningful carbon impact figures for research workloads
Improve Your Value For Money
As well as delivering a research environment suitable for your end-users, our solutions aim to get you the most for you money.
Resource Requirements
Through our simple building-block mechanism end-users can better understand the system, get reports on performance and choose the best solution for their workloads - reducing resource overcommitting.
Your Resources
Public cloud can be expensive, by using your own compute and storage hardware hosted in your own or a commercial data-centre you can get the best return on your resource investment.
Hybrid Environment
Sharing resources between tradition batch-scheduler controlled HPC and on-demand/interactive/container workloads within the same facility eliminates the requirement for separate solutions for each.
Fair Budgets
Using fixed budgets your resources can be fairly shared across multiple workloads, user groups and stakeholders using queuing or time-shared methods.
Utilisation Visualisation
Help stakeholders better visualise the availabe resources, empowering allocation to different teams, onboarding new users, identifying potential workloads and optimising system effectiveness.
Impact Measurement
Measure the impact of research workloads and plan for future carbon emission reductions.
Resource Exchange
Allow your users to share underutilised resources with other teams in exchange for more flexibility at times of peak demand, letting no resources go to waste.
Ready to Start Your Supercomputing Subscription?
Begin your journey into affordable, sustainable HPC & AI