My Data Sys (MDS) staff are experts in private Language Model (LLM) deployment and development.
We specialize in tailoring LLMs to your specific needs using localized data, ensuring optimal performance and security.
We are Green AI Micro Data Center solution experts.
Let’s discuss how we can build a dedicated private Green AI Micro Data Center to empower your organization with cutting-edge AI capabilities.
We are Data Centre specialists that can help you prepare and upgrade your current or create a new Data Centre for AI computing.
We deal with power distribution systems in the Data Centre, including, advanced matrix switching, Battery UPS, Solar systems, Biomass, Power grid connections, alternative fuel power and power distribution management systems.
We can also assist you in site preparation and the various permits required.
We are Virtual Machine experts specializing in Proxmox Virtual Environments and will help you virtualize and support your local infrastructure.
Proxmox Virtual Environments are scalable and well suited to the Green AI Micro Data Centers.
Deploying servers on a Virtual Environment is fast and efficient and easy to backup and restore or move to a new cluster.
We have a lot of experience in deploying large deployments of Proxmox.
We use a proprietary 10-step process to resurrect, secure, and update valuable archived company data to be surfaced via advanced AI tools and dashboards.
Our process will analyze existing data and create reports outlining the best way to migrate them.
Part of the process is upgrading to a supported version of the software so that the latest features can be used to move data.
We have extensive experience working with big data in corporate systems such as Notes and Domino, SAP, DB2, mainframes, and other large server systems.
Most of the legacy systems do have methods to move data to new environments but some are more difficult than others.
There is a lot of value in older legacy data that can be mined.
We can help you preserve, upgrade, and consolidate legacy platforms, use the REST APIs to surface the data, or migrate to more relevant and modern systems.