Products
Check out our product offerings
Generative AI Containers
Our AI Containers are powerful and efficient solutions that allows customers to create and deploy Generative AI services in their data center. The servers come pre-configured and ready to use, offering a seamless experience for users. With our AI Servers, you can easily harness the power of Generative AI and leverage its capabilities to drive innovation and automate business processes. The servers provide advanced scalability options, allowing you to upgrade to standard and enterprise levels as per your requirements. Experience the benefits of our AI Server and unlock the full potential of AI in your organization.
Generativ AI Studio
Ai Empower Labs Studio is a UI interface that enables you to run and use server containers out of the box, with no need to code at all. The Studio is embedded in the containers and includes Large Language Model, Semantic Search and Machine Learning capabilities for Gen AI services with RAG and Speech-to-text services available
The Studio allows you to test and run Semantic Search – indexing your own data and use Gen AI technology to search your own data and or use these data with the embedded large language models
Create and run complete Virtual Assistants for chat and voice without the need to code
Why choose our container products?
We provide containers for: Large Language Models, Retrieval-Augmented-Generation (RAG), Speech-to-text Transcription, and Multilingual Translation and Semantic Search Capabilities.
Today enterprises strive to harness the capabilities of Large Language Models (LLMs) like GPT, utilize RAG for enhanced data search and retrieval, and access state-of-the-art transcription and multilingual services. Yet, the integration of these sophisticated AI solutions directly onto a company’s hardware infrastructure is a formidable task.
AI Empower Labs provides a bespoke solution to these challenges, offering a streamlined, efficient approach that distinguishes itself within the AI services landscape
Navigating the Complexity of Advanced AI Integration
- Hardware and GPU Optimization: Managing substantial GPU requirements for these models demands strategic resource allocation and scalability.
- Evolving Software Ecosystem: The software development landscape, especially beyond Python, is yet to fully mature, complicating the seamless integration of Generative AI technologies.
- Data Processing and Vectorization: Utilizing LLMs and RAG effectively involves intricate processes such as embedding, tokenization, and vectorization, requiring in-depth expertise.
- Vector Storage and Advanced Search: Establishing efficient vector storage and sophisticated search mechanisms for swift information retrieval poses a considerable technical challenge.
- Database Integration: Achieving seamless database integration while maintaining data security and privacy presents hurdles.
- Enhanced RAG Capabilities: Crafting advanced RAG search and filtering functions demands specialized knowledge and resources.
AI Empower Labs: Unraveling the Complexity
- Eliminating the Need for Dedicated Development Teams: With AI Empower Labs, businesses can sidestep the need for extensive development resources, offering a turnkey solution that’s ready for immediate deployment.
- Delivering Exceptional Value: Providing an integrated solution that effortlessly aligns with existing hardware and systems, AI Empower Labs ensures businesses can tap into the full potential of AI technologies effortlessly.
- Facilitating Bulk Data Processing: The platform’s capacity for bulk data ingestion stands out, enabling swift integration and deployment, thus minimizing downtime and accelerating operational readiness.
AI Empower Labs in Practice
The Landscape of Complexity
- Hardware and Infrastructure: The demand for high-performance GPUs and specialized hardware to manage the intensive computing requirements of running LLMs and RAG systems necessitates a well-orchestrated infrastructure setup to optimize performance and compatibility.
- Software and Development Ecosystem: The current state of software development, particularly beyond Python, lacks full maturity for the smooth integration of these advanced technologies. Developers are often required to navigate a fragmented landscape of tools and languages, further complicated by the need for advanced RAG capabilities.
- Integration and Operation Challenges: The operational complexities of integrating these technologies into a cohesive system demand an intricate understanding of the components’ inner workings and dependencies, requiring fine-tuning to efficiently manage computational loads.
An All-in-One Platform
Key Features:
- Bulk Data Ingestion: This feature stands out by enabling businesses to quickly upload and process large volumes of text, facilitating the full leverage of data assets
- Comprehensive Data Processing Support: Offering native support for a variety of embedding and tokenization techniques, the platform ensures fast and accurate information retrieval through advanced vector storage and search capabilities.
- Optimized Performance and Cross-Language Support: Designed with high-performance computing in mind, the platform maximizes GPU utilization and offers cross-language support, enabling the seamless integration of these complex models and processes on a company’s infrastructure.
This all-in-one platform marks a significant advancement in making the capabilities of LLMs, RAG, transcription, and translation more accessible to businesses, eliminating the need for deep technical expertise in AI and machine learning. By simplifying the deployment and operation of these technologies, companies can now harness their power to drive innovation and value, focusing on their core business strategies rather than the complexities of their implementation.
Completely free - no expiration
A containers can be run completely free with all features included, but with maximum 30 requests per minute.
As your business expands and requires more resources, our Scalability Upgrades allows you to easily scale up your AI infrastructure to standard and enterprise levels. the upgrade possiblitied provide enhanced performance, reliability, and flexibility, ensuring that your AI services can handle higher workloads and still deliver optimal results.
With Ai Empower Labs Scalability Upgrade, organisations can seamlessly transition to higher levels of scalability without any disruptions or downtime.
Experience the power of scalability and unlock new possibilities with our Scalability Upgrade.
APIs for development teams
Build Gen AI into your business applications with AI EmpowerLabs APIs. Compatible with OpenAI and Microsoft Azure APIs
- Configure and add data to your models using Ai Empower Labs Studio interface
- Embed these in your applications with the APIs
Compete Swagger and OpenAPIs available. You can try the APIs in our cloud. To use the APIs you will need to downloads our containers and make your own copy.