Elotl provides a serverless infrastructure platform designed for deploying and managing microservices, specifically tailored for AI applications. The platform enables organizations to self-host large language models, retrieval-augmented generation, and vector databases, mitigating the high costs and data privacy risks associated with public GenAI inference APIs.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges in deploying and managing AI applications due to the high costs, rate limits, and data privacy risks associated with public GenAI inference APIs. Self-hosting large language models, retrieval-augmented generation, and vector databases requires specialized infrastructure and expertise.
Solution
Elotl provides a GenAI infrastructure engine that enables organizations to self-host their AI workloads on public cloud in a secure, simple, cost-effective, and cloud-agnostic manner. The platform is built for AI and specialized for GPUs, ensuring AI initiatives can leverage cutting-edge breakthroughs. Elotl's Nodeless Kubernetes allows users to run applications without managing servers or clusters. The platform supports any LLM, RAG, VectorDB, and ML Framework.
Target Audience
The primary target audience includes organizations seeking to self-host AI applications to mitigate the costs and risks associated with public GenAI inference APIs.
Features
- Serverless infrastructure for deploying and managing microservices, tailored for AI applications
- Support for self-hosting large language models (LLMs), retrieval-augmented generation (RAG), and vector databases
- Nodeless Kubernetes to run applications without managing servers or clusters
- Luna Smart Autoscaling for public cloud Kubernetes clusters using on-demand and spot GPUs
- Compatibility with any LLM, RAG, VectorDB, and ML Framework
- Integration with SUSE AI