This company provides developer-friendly APIs for fast, low-cost, and reliable AI inference, offering access to over 100 machine learning models. They specialize in optimizing performance and cost for various tasks including text generation, image processing, and speech recognition. The platform emphasizes data privacy through a zero-retention policy and operates on proprietary, inference-optimized infrastructure.
Funding
$20.6M 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
Deploying and scaling machine learning models for inference requires significant investment in complex infrastructure and specialized ML operations (MLOps) expertise. Many organizations lack the resources to efficiently manage the underlying hardware and software dependencies, leading to increased costs and slower deployment cycles.
Solution
Deep Infra provides a serverless machine learning inference platform that simplifies the deployment and scaling of AI models through a straightforward API. The platform abstracts away the complexities of managing ML infrastructure, enabling businesses to focus on developing and utilizing AI applications. Deep Infra offers pay-per-use pricing, allowing users to only pay for the resources they consume during inference execution. By leveraging dedicated A100, H100, and H200 GPUs and autoscaling capabilities, Deep Infra ensures low-latency performance and efficient resource utilization. The platform supports a wide range of models, including text generation, text-to-image, and automatic speech recognition, and allows users to deploy custom models.
Target Audience
Deep Infra targets AI developers, machine learning engineers, and businesses of all sizes seeking a cost-effective and scalable solution for deploying and serving AI models in production.
Features
- Simple REST API for model deployment and inference
- Support for various model types, including text generation, text-to-image, and automatic speech recognition
- Pay-per-use pricing model based on token consumption or inference execution time
- Autoscaling infrastructure to handle fluctuating workloads and maintain low latency
- Access to high-performance NVIDIA A100, H100, and H200 GPUs
- Multi-region deployment for reduced latency and increased availability
- Support for custom LLMs with dedicated GPU instances
- Integration with tools like `deepctl` and Langchain