Custom Private Ai servers for small, medium and large Enterprise
Pre-configured custom AI servers. Add your own proprietary data to unlock unprecedented growth and efficiency
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Get started with your own private Ai server for your business.
Everything you need for your own private GPT.
Chat with your data: R.A.G
At the heart of our Retrieval augmented generation (R.A.G) lies the capability to fetch relevant information from a dataset. This process involves querying a database or a collection of documents to find pieces of information that are pertinent to the user’s query
- Local Operation
- Embedding Model and Vector Database
- Enhanced Performance with Local Data
- Reduced Dependency on External Data Sources
- Data Governance and Privacy
Premium
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Users: 2-5
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Cores: 16
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RAM: 64G
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SSD: 2TB
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GPU: 8GB
Team work makes the dream work
Sam Mokoena
Project Portfolio Management
Financial Modelling
Project Finance
Financial Accounting
Stakeholder Management
Business Strategy
Business Planning
Business Analysis
Business Process
Improvement
Project Management
Anselm Kapambwe
Product Devdelopment
Project Portfolio ManagementProject Finance
Financial Accounting
Business Planning
Business Analysis
Business Asset Management
Compliance and Governance
Tony Makelve
Reshma Sewpersad
Scrum
Agile Software Development
Leadership
Project Portfolio Management
Quality Control
Stakeholder Engagement
Product Road Mapping
Nkanyiso Banya
Collaboration and Communication
Security Practices
DevOps and Automation
Compliance and Governance
Tools and Technologies
Education and Training
Bayana Mkhacana
Financial Modelling
Budgeting
Forecasting
Financial Reporting
Account Reconciliation
Cash Flow Management
Treasury Management
Risk Management
Compliance
Tax Planning
Investment Analysis
Financial Planning and Analysis
Timothy Baek
Open WebUi Developer
Client-Side Developer
Web Application Developer
JavaScript Developer
HTML/CSS Developer
User Interface Engineer
Front-End Software Engineer
Web Front-End Developer
Full-Stack Developer (with focus on front-end)
Pre-Built Connectors and Templates: Take advantage of pre-built connectors and integration templates offered
Understand the client’s requirements regarding the server setup, such as hardware specifications (CPU/GPU availability), desired functionalities, and security requirements.
Ensure the server meets the hardware and software requirements for running containers and the necessary AI models
Decide whether to utilize NPU resources for faster AI model inference or stick with GPU-only processing based on the server’s capabilities and the client’s preferences.
Creating a knowledge base for Retrieval Augmented Generation (RAG) systems involves compiling structured information that serves as a centralized repository of up-to-date product information, services, policies, and procedures specific to a company. This knowledge base acts as the foundation for RAG systems, enabling them to provide accurate, consistent, and tailored responses to user inquiries.
Workflows can be customized to match the company’s support policies, ticket prioritization, and escalation procedures, ensuring that each customer’s issue is handled efficiently and effectively.
By carefully planning the training and deployment phases, organizations can leverage the power of our Private RAG systems to significantly enhance the capabilities of their Private Ai Server, leading to more accurate, relevant, and context-aware responses
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