Deepinfra

DeepInfra is a cloud infrastructure platform focused on making AI model deployment and serving more accessible and cost-effective. It provides developers and businesses with easy access to a wide range of AI models through a unified API.

Setup

Step 1: Create Deepinfra Account

1. Visit the deepinfra Dashboard (opens in a new tab)
2. Sign up for a new account or log in to your existing account
3. Complete the account verification process

Step 2: Generate API Key

1. Navigate to the API Keys section in your Deepinfra dashboard
2. Click Generate New Key
3. Give your API key a descriptive name
4. Copy the generated API key (you won't be able to see it again)

Step 3: Configure in Lamatic

1. Open your Lamatic.ai Studio (opens in a new tab)
2. Navigate to Models section
3. Select Deepinfra from the provider list
4. Paste your API key in the designated field
5. Save your changes

Key Features

• Wide Model Selection: Access to hundreds of open-source and proprietary models
• Cost Effective: Competitive pricing for model inference
• High Performance: Optimized infrastructure for fast model serving
• Easy Integration: Simple API for model deployment and inference
• Scalable: Automatic scaling based on demand
• Developer Friendly: Comprehensive documentation and SDKs

Available Models

Deepinfra supports a wide variety of models including:

• Open Source Models: Llama, Mistral, CodeLlama, and many others
• Proprietary Models: Access to various commercial models
• Specialized Models: Models for specific tasks like coding, reasoning, and creative writing
• Multimodal Models: Models that can process both text and images

Check the Deepinfra Models (opens in a new tab) page for the complete list of available models and their specifications.

Configuration Options

• API Key: Your Deepinfra API key for authentication
• Model Selection: Choose from available Deepinfra models
• Custom Parameters: Configure temperature, max_tokens, top_p, and other generation parameters
• Streaming: Enable real-time text generation streaming
• Model Deployment: Deploy custom models if needed

Best Practices

• API Key Security: Keep your API keys secure and never share them publicly
• Rate Limiting: Be aware of Deepinfra's rate limits and implement appropriate throttling
• Model Selection: Choose the appropriate model based on your use case and budget
• Error Handling: Implement proper error handling for API failures and rate limits
• Cost Optimization: Monitor your usage and optimize prompts to reduce token consumption
• Performance Monitoring: Track model performance and latency for your specific use cases

Troubleshooting

Invalid API Key:

• Verify your API key is correct and hasn't expired
• Check if your account has sufficient credits
• Ensure the API key has the necessary permissions

Rate Limit Exceeded:

• Implement exponential backoff in your requests
• Consider upgrading your Deepinfra plan for higher limits
• Monitor your usage in the Deepinfra dashboard

Model Not Available:

• Check if the model is available in your region
• Verify your account has access to the specific model
• Contact Deepinfra support for model availability issues

Authentication Errors:

• Ensure your API key is properly formatted
• Check if your account is active and verified
• Verify you're using the correct API endpoint

High Latency:

• Check if the model is currently under high load
• Consider using a different model or region
• Monitor Deepinfra's status page for any service issues

Important Notes

• Keep your API keys secure and never share them
• Regularly rotate your API keys for enhanced security
• Monitor your usage and costs in the Deepinfra dashboard
• Test your integration after adding each key
• Some models may require additional setup or approval
• Be aware of Deepinfra's terms of service and usage policies

Additional Resources

• Deepinfra API Documentation (opens in a new tab)
• Model Documentation (opens in a new tab)
• Deepinfra Community (opens in a new tab)

Need help? Contact Lamatic support (opens in a new tab)