On-premises refers to an approach where a company builds and operates its IT infrastructure directly in its own data centre or on its own servers instead of using an external cloud. Adopting an on-premises approach allows a company to directly control its data security and systems.
On-premises refers to an approach where a company builds and operates its IT infrastructure directly in its own data centre or on its own servers instead of using an external cloud. Adopting an on-premises approach allows a company to directly control its data security and systems.
This document technically describes the key benefits expected from adopting Clevi On-Premise and the secure isolated computing environment for the Clevi-X MDLM (Massive Multimodal Language Model) model.
1. Benefits of adopting On-Premise
Maximizing data independence and security
All processes, from data input through analysis, services, and backups, are operated independently within the company’s closed internal network. → Minimizes the risk of external data leakage and is optimized for data sovereignty and personal information protection
Sensitive data, such as Fine Dataset and private datasets, is isolated in a separate security zone → Data access control and auditing are facilitated.
GPU/CPU servers are configured as a cluster in the analysis and computing areas → Optimized for large-scale AI computing, real-time data processing, and parallel analysis
An HA (High Availability) structure is applied → Enables stable operation without service interruptions even when failures occur.
Flexible data management and scalability
The integrated database cluster and cold backup storage are separated → Enables efficient management of real-time data and long-term archived data
The analysis, service, and data management areas are modularized, making expansion and maintenance easy → Enables a rapid response to changes in business operations, data growth, and the introduction of new services.
SVCE(Clevi Safe Virtural Compute Environment)
Enhanced security → Completely isolates each task and user session to prevent the risk of malicious code execution, data leakage, and system compromise.
Flexibility and scalability → Dynamically adjusts the number of instances and resource allocations as needed, providing customized environments for various AI workloads (text, images, code, etc.).
Operational efficiency → Maximizes infrastructure utilization through automated resource management and scheduling, and supports rapid instance recreation and rollback when failures occur.
2. A Secure Isolated Computer Environment for the Clevi-X MDLM Model
Clevi-X MDLM (M Double LM - Massive Multimodal Language Model) is a next-generation multimodal AI model designed to support real-world computing tasks by learning how humans use computing environments, as well as their methods, structures, and procedures.
A lightweight container environment based on the CLK (Clevi Linux Kernel) is designed to make virus intrusion and malicious access, as well as any operation beyond authorized permissions, impossible.
Even in cloud computing environments accessed by multiple anonymous users for various purposes, SVCE(Safe Virtual Compute Environment) completely isolates each session and task, ensuring security against intrusions or attack attempts by malicious users.
All operations, including Internet access, computation, code execution, result verification, and file input/output, take place in a secure isolated space, ensuring the reliability of the model's output data and its ability to execute tasks.
Provides a secure environment against various threats, including hacking, data leakage, attacks using the model, and attacks targeting the model.
