Deep Infra Description

Experience a robust, self-service machine learning platform that enables you to transform models into scalable APIs with just a few clicks. Create an account with Deep Infra through GitHub or log in using your GitHub credentials. Select from a vast array of popular ML models available at your fingertips. Access your model effortlessly via a straightforward REST API. Our serverless GPUs allow for quicker and more cost-effective production deployments than building your own infrastructure from scratch. We offer various pricing models tailored to the specific model utilized, with some language models available on a per-token basis. Most other models are charged based on the duration of inference execution, ensuring you only pay for what you consume. There are no long-term commitments or upfront fees, allowing for seamless scaling based on your evolving business requirements. All models leverage cutting-edge A100 GPUs, specifically optimized for high inference performance and minimal latency. Our system dynamically adjusts the model's capacity to meet your demands, ensuring optimal resource utilization at all times. This flexibility supports businesses in navigating their growth trajectories with ease.

Deep Infra Alternatives
RunPod Reviews
RunPod
(180 Ratings)
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
Learn more
Vertex AI Reviews
Vertex AI
(783 Ratings)
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
Learn more
CentML Reviews
CentML
CentML enhances the performance of Machine Learning tasks by fine-tuning models for better use of hardware accelerators such as GPUs and TPUs, all while maintaining model accuracy. Our innovative solutions significantly improve both the speed of training and inference, reduce computation expenses, elevate the profit margins of your AI-driven products, and enhance the efficiency of your engineering team. The quality of software directly reflects the expertise of its creators. Our team comprises top-tier researchers and engineers specializing in machine learning and systems. Concentrate on developing your AI solutions while our technology ensures optimal efficiency and cost-effectiveness for your operations. By leveraging our expertise, you can unlock the full potential of your AI initiatives without compromising on performance.
Learn more
OpenRouter Reviews
OpenRouter
(1 Rating)
OpenRouter serves as a consolidated interface for various large language models (LLMs). It efficiently identifies the most competitive prices and optimal latencies/throughputs from numerous providers, allowing users to establish their own priorities for these factors. There’s no need to modify your existing code when switching between different models or providers, making the process seamless. Users also have the option to select and finance their own models. Instead of relying solely on flawed evaluations, OpenRouter enables the comparison of models based on their actual usage across various applications. You can engage with multiple models simultaneously in a chatroom setting. The payment for model usage can be managed by users, developers, or a combination of both, and the availability of models may fluctuate. Additionally, you can access information about models, pricing, and limitations through an API. OpenRouter intelligently directs requests to the most suitable providers for your chosen model, in line with your specified preferences. By default, it distributes requests evenly among the leading providers to ensure maximum uptime; however, you have the flexibility to tailor this process by adjusting the provider object within the request body. Prioritizing providers that have maintained a stable performance without significant outages in the past 10 seconds is also a key feature. Ultimately, OpenRouter simplifies the process of working with multiple LLMs, making it a valuable tool for developers and users alike.
Learn more

Pricing

Pricing Starts At:
$0.70 per 1M input tokens
Free Trial:
Yes

Integrations

API:
Yes, Deep Infra has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
Deep Infra
Website:
deepinfra.com

Media

Deep Infra Screenshot 1
Deep Infra Screenshot 1 Deep Infra Screenshot 2 Deep Infra Screenshot 3 Deep Infra Screenshot 4 Deep Infra Screenshot 5
Recommended Products
Orchestrate Your AI Agents with Zenflow Icon
Orchestrate Your AI Agents with Zenflow

The multi-agent workflow engine for modern teams. Zenflow executes coding, testing, and verification with deep repo awareness

Zenflow orchestrates AI agents like a real engineering system. With parallel execution, spec-driven workflows, and deep multi-repo understanding, agents plan, implement, test, and verify end-to-end. Upgrade to AI workflows that work the way your team does.
Try free now

Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Deep Infra Features and Options

Machine Learning Software

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Deep Infra Lists

Deep Infra User Reviews

Write a Review
  • Name: Simon M.
    Job Title: Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User, Administrator, Deployment
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Highly unstable pricing model. Avoid.

    Date: Sep 12 2025

    Summary: They have a highly unstable business model which makes me worry they will be gone suddenly one day. They lure you in with cheapness and they increase the price by 400% or delete the model forcing you to use more expensive versions.
    Predatory business.

    Positive: Large range of models. On first glance, priced well. Sleek user interface and easy access to API keys. Min top-up is low at $5.

    Negative: In the less than a month I was testing their service, for common, highly used models available for free download on Hugging Face (so they weren't having to pay a middle man like for gpt etc), they:

    1) Deleted 1 model entirely and offered no replacement.
    2) Increased the price on another model 400%.
    3) Doubled the price of another.

    There was no obvious way to contact them about this on their website other than a sales form.

    Read More...
  • Previous
  • You're on page 1
  • Next