SiliconFlow is an AI infrastructure that provides developers with LLM deployment, AI model hosting, and inference APIs. It provides users with lower latency, higher throughput and predictable costs through an optimized stack.
Demand population:
SiliconFlow is suitable for developers who pursue speed, accuracy and reliability without making a trade-off between speed and cost. It provides flexible deployment methods to run various AI models efficiently.
Example of usage scenarios:
Small teams quickly deploy LLM models
Large enterprises efficiently operate multi-model reasoning
Individual developers experience serverless AI deployment
Product Features:
Deploy, optimize and run over 200 LLMs and multi-models
Provides flexible deployment options including serverless, reserved GPUs and custom settings
Supports model fine-tuning, with built-in monitoring and elastic computing functions
Provides a consistent API, fully compatible with OpenAI standards
SDKs, observability, expansion and other functions are available
Tutorials for use:
Visit SiliconFlow website
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Choose the right model deployment method
Deploy, optimize and run AI models in accordance with the guidelines
Monitor and manage model performance