What is FlexAI?
FlexAI is revolutionizing the way AI workloads are executed. With Workload as a Service (WaaS), FlexAI allows you to train, fine-tune, and deploy models faster, at a lower cost, and with zero complexity. Whether you're working on chatbots, RAG, or enterprise AI, FlexAI ensures your workloads are optimized, automated, and effortless.
What are the features of FlexAI?
- Workload as a Service (WaaS): Dynamically scales, adapts, and self-recovers to ensure your AI workloads always run on the best infrastructure.
- Training: Spin up GPU clusters instantly for LLMs and custom models, auto-scaling to demand with no wasted resources.
- Fine-Tuning: Fine-tune your own and open-source models with enterprise-grade recipes, seamlessly scaling without infrastructure burden.
- Inference: Deploy high-performance inference endpoints instantly with workload-aware optimization, ensuring lower latency and cost.
What are the use cases of FlexAI?
- Chatbots: Optimize and fine-tune chatbot models for better performance.
- RAG (Retrieval-Augmented Generation): Enhance RAG models with domain-specific data.
- Enterprise AI: Deploy and scale AI solutions across cloud, hybrid, or on-prem environments.
How to use FlexAI?
- Training: Start by selecting your model and data, then let FlexAI handle the rest with auto-scaling GPU clusters.
- Fine-Tuning: Upload your domain data and choose from enterprise-grade fine-tuning recipes.
- Inference: Deploy your model with a single click, and FlexAI will optimize the runtime for lower latency and cost.
