Inferless
Inferless is a serverless GPU platform that enables effortless deployment and scaling of machine learning models in the cloud with developer-friendly features and cost-effective infrastructure management.
https://www.inferless.com/?ref=aipure
Product Information
Updated:Jul 16, 2025
Inferless Monthly Traffic Trends
Inferless experienced a 35.1% decline in traffic, dropping to 33.6K visits. This significant decline could be attributed to a lack of recent product updates or improvements, and the intense competition in the AI model deployment market with 70 competitors. The CPI increase and inflation-adjusted hourly earnings decline may also have affected spending on tech solutions.
What is Inferless
Inferless is a cloud platform designed specifically for deploying and managing machine learning models in production environments. It provides a developer-friendly solution that removes the complexities of managing GPU infrastructure while offering seamless deployment capabilities. The platform supports model imports from popular providers like Hugging Face, AWS S3, and Google Cloud Buckets, making it accessible for developers and organizations looking to operationalize their ML models without dealing with infrastructure complexities.
Key Features of Inferless
Inferless is a serverless GPU inference platform that enables efficient deployment and scaling of machine learning models. It provides automated infrastructure management, cost optimization through GPU sharing, seamless integration with popular model repositories, and fast deployment capabilities with minimal cold start times. The platform supports custom runtimes, dynamic batching, and automatic scaling to handle varying workloads while maintaining high performance and low latency.
Serverless GPU Infrastructure: Eliminates the need for managing GPU infrastructure by providing automated scaling from zero to hundreds of GPUs with minimal overhead
Multi-Platform Integration: Seamless integration with popular platforms like Hugging Face, AWS Sagemaker, Google Vertex AI, and GitHub for easy model importing and deployment
Dynamic Resource Optimization: Intelligent resource sharing and dynamic batching capabilities that enable multiple models to share GPUs efficiently while maintaining performance
Enterprise-Grade Security: SOC-2 Type II certified with regular vulnerability scans and secure private connections through AWS PrivateLink
Use Cases of Inferless
AI Model Deployment: Deploy large language models and computer vision models for production use with automatic scaling and optimization
High-Performance Computing: Handle high QPS (Queries Per Second) workloads with low latency requirements for AI-powered applications
Cost-Efficient ML Operations: Optimize GPU infrastructure costs for startups and enterprises running multiple ML models in production
Pros
Significant cost savings (up to 90%) on GPU cloud bills
Quick deployment time (less than a day)
Automatic scaling with no cold-start issues
Enterprise-grade security features
Cons
Limited to GPU-based workloads
Requires technical expertise to configure custom runtimes
Platform is relatively new in the market
How to Use Inferless
Create an Inferless Account: Sign up for an Inferless account and select your desired workspace
Add a New Model: Click on 'Add a custom model' button in your workspace. You can import models from Hugging Face, GitHub, or upload local files
Configure Model Settings: Select your framework (PyTorch, TensorFlow etc.), provide model name, and choose between Shared or Dedicated GPU options
Set Up Runtime Configuration: Create or upload inferless-runtime-config.yaml file to specify runtime requirements and dependencies
Implement Required Functions: In app.py, implement three main functions: initialize() for model setup, infer() for inference logic, and finalize() for cleanup
Add Environment Variables: Set up necessary environment variables like AWS credentials if required for your model
Deploy Model: Use either the web interface or Inferless CLI to deploy your model. Command: inferless deploy
Test Deployment: Use the inferless remote-run command to test your model in the remote GPU environment
Make API Calls: Once deployed, use the provided API endpoint with curl commands to make inference requests to your model
Monitor Performance: Track model performance, costs, and scaling through the Inferless dashboard
Inferless FAQs
Inferless is a serverless GPU inference platform that allows companies to deploy and scale machine learning models without managing infrastructure. It offers blazing fast deployment and helps companies run custom models built on open-source frameworks quickly and affordably.
Inferless Video
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Analytics of Inferless Website
Inferless Traffic & Rankings
33.6K
Monthly Visits
#767298
Global Rank
#2236
Category Rank
Traffic Trends: Feb 2025-Jun 2025
Inferless User Insights
00:00:14
Avg. Visit Duration
2.19
Pages Per Visit
41.7%
User Bounce Rate
Top Regions of Inferless
US: 14.83%
IN: 12.83%
VN: 9.03%
ES: 7.26%
KR: 6.82%
Others: 49.22%
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