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Deep Infra Inc. | Company Profile

9/24/2025

Deep Infra Inc.

Overview

Based in Palo Alto, California and founded in 2022, this technology company specializes in providing scalable, cost-effective AI inference infrastructure for deep learning models. Its platform enables businesses to deploy machine learning models in production easily through a simple API, streamlining hardware and infrastructure management.

Offering a fully managed GPU infrastructure that supports both open-source and custom AI models, the company delivers reliable, low-latency inference, model hosting, and automated deployment with automatic scaling to meet demand. Features such as tiered usage plans and automatic invoicing help customers control costs, targeting developers and businesses looking to integrate AI models with minimal latency and operational overhead. The organization is led by experienced founders and backed by significant funding, with a mission to democratize access to AI and empower clients to apply AI insights effectively.

Basic Information

Industry information technology & services
Founded 2022
Revenue 3.8M
Headquarters 2625 Middlefield Road, Palo Alto, California, United States, 94306

Contact Details

Key Focus Areas & Initiatives

  • AI model version control
  • Large language models
  • AI model deployment automation
  • AI model latency optimization
  • AI model cost efficiency
  • AI model performance
  • Model versioning
  • AI model customization
  • Low latency inference
  • AI model API
  • AI model marketplace
  • Model optimization
  • Model scaling
  • AI model performance benchmarking
  • Model deployment automation
  • Cloud AI platform
  • Model fine-tuning
  • Cost control for AI
  • Cost-effective AI deployment
  • Software as a service
  • Model security
  • Multimodal models
  • AI model API management
  • Automatic speech recognition
  • AI for enterprise applications
  • Model management
  • Model inference in multiple regions
  • Enterprise AI solutions
  • AI for content creation
  • AI for enterprise automation
  • Custom model deployment
  • Cloud GPU services
  • Text generation
  • Cloud inference API
  • Cloud computing
  • AI inference on dedicated hardware
  • AI model management
  • Multimodal AI models
  • AI model optimization
  • AI model inference cost
  • Enterprise AI infrastructure
  • Multi-model support
  • Custom AI model deployment
  • Model performance monitoring
  • Model hosting and deployment
  • AI model cost control
  • AI model training
  • AI model security
  • AI model for content creation
  • Model logs
  • Text-to-image models
  • API integration
  • AI model latency reduction
  • Model inference time pricing
  • Text-to-video models
  • Zero-shot image classification
  • Cost-effective AI infrastructure
  • Model performance metrics
  • Multi-region deployment
  • Pay-per-use inference
  • Scalable inference infrastructure
  • AI model optimization techniques
  • AI model hosting
  • Auto-scaling
  • AI model integration
  • Model metrics
  • AI model fine-tuning
  • Auto-scaling inference
  • GPU inference hardware
  • Text generation models
  • AI model security and compliance
  • Low latency AI models
  • Pay-per-use pricing
  • AI model scalability
  • Model monitoring and logs
  • Machine learning inference
  • Artificial intelligence
  • Dedicated GPU instances
  • AI model monitoring
  • Text-to-image
  • B2B
  • Services
  • Computer systems design and related services
  • SaaS
  • Computer software
  • Enterprise software
  • Enterprises

Technologies Used

  • AI
  • Android
  • Gmail
  • Google Apps
  • Hubspot
  • Route 53

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