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 gives companies the advantage of directly controlling data security and systems.
This document technically explains the key benefits expected from adopting Clevi On-Premise, as well as the secure, isolated computing environment for the Clevi-X MDLM (Massive Multimodal Language Model) model.
1. Benefits of adopting On-Premise
Maximising data independence and security
- All processes, from data input through analysis, services and backup, are operated independently within the company's closed internal network. → Minimises the risk of external data leakage and is optimised for data sovereignty and privacy protection
- Sensitive data, such as Fine Dataset and private datasets, is isolated in a separate security area → Data access control and auditing are made easier.
High-performance, high-availability infrastructure design
- GPU/CPU servers are configured as a cluster in the analysis and computing area → Optimised for large-scale AI computation, real-time data processing and parallel analysis
- An HA (High Availability) structure is applied → Stable operation is possible without service interruption even when a failure occurs.
Flexible data management and scalability
- The integrated database cluster and cold backup storage are separated → Real-time data and long-term retention data can be managed efficiently
- The analysis, service and data management areas are modularised, making expansion and maintenance easy → This enables a rapid response to changes in business operations, increases in data and the introduction of new services.
SVCE(Clevi Safe Virtural Compute Environment)
- Enhanced security → Fully isolates each task and user session to prevent the risks of malicious code execution, data leakage and system compromise.
- Flexibility and scalability → Dynamically adjusts the number of instances and resource allocations as needed, providing customised environments for various AI workloads (text, images, code, etc.).
- Operational efficiency → Maximises infrastructure utilisation through automated resource management and scheduling, while supporting rapid instance recreation and rollback in the event of a failure.
2. Secure isolated computing 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 authorised permissions, impossible.
- Even in cloud computing environments accessed by multiple anonymous users for various purposes, SVCE(Safe Virtual Compute Environment) fully isolates each session and task, ensuring security against intrusion 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.
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