About Deep Infra

Provides a serverless machine learning inference platform that enables businesses to deploy and scale AI models via a simple API, eliminating the need for complex ML infrastructure. It reduces costs and improves efficiency by offering pay-per-use pricing, low-latency performance, and automatic scaling on dedicated A100 and H100 GPUs.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> <revenue_model> Deep Infra utilizes a tiered pricing model, charging users based on token consumption (e.g., $1.79 per 1M input tokens for Llama-3.1-405B-Instruct) or inference execution time (e.g., $0.0005/second). Custom LLMs deployed on dedicated GPUs are billed hourly (e.g., $2.40/GPU-hour for Nvidia H100). </revenue_model> ```

What does Deep Infra do?

Where is Deep Infra located?

Deep Infra is based in Palo Alto, United States.

When was Deep Infra founded?

Deep Infra was founded in 2022.

How much funding has Deep Infra raised?

Deep Infra has raised 20640000.

Who founded Deep Infra?

Deep Infra was founded by Nikola Borisov.

Nikola Borisov - CEO/Co-founder

Location

Palo Alto, United States

Founded

2022

Funding

20640000

Employees

9 employees

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Deep Infra

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

deepinfra.com 700+

Crunchbase

Founded 2022 – Palo Alto, United States

Funding

Estimated Funding

$20.6M+

Team (5+)

Nikola Borisov

CEO/Co-founder

Company Description

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.

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

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.

Revenue Model

Deep Infra utilizes a tiered pricing model, charging users based on token consumption (e.g., $1.79 per 1M input tokens for Llama-3.1-405B-Instruct) or inference execution time (e.g., $0.0005/second). Custom LLMs deployed on dedicated GPUs are billed hourly (e.g., $2.40/GPU-hour for Nvidia H100).