Flopex — AI inference routing exchange

FLOPEX acts as a real-time GPU compute exchange, routing inference requests to the optimal provider in milliseconds. Key features include: * Dynamic provider selection based on cost, latency, and availability * Automatic failover for provider outages or errors * Detection of model catalog drift and deprecations * Drop-in compatibility with existing OpenAI integrations * Access to over 16,000 models across multiple live providers This platform continuously monitors real-time pricing and performance across various GPU networks, ensuring your inference jobs are always processed by the fastest and most cost-effective option. By leveraging a network of providers like Groq, DeepInfra, Together AI, Featherless, and RunPod, FLOPEX mitigates the risks associated with single-provider reliance, offering better reliability and efficiency. The exchange model ensures that even if one provider experiences issues, your jobs seamlessly reroute to another. Every response includes detailed billing information with exact token counts and cost in USD, providing complete transparency. Users can send jobs with a single API call, specifying their desired model, prompt, and performance profile (Economy, Balanced, or Fast), allowing for tailored execution. This system is designed for developers, engineering teams, and businesses requiring high-performance, cost-efficient, and resilient compute for their external applications, ensuring consistent service delivery and optimized expenditure on operations.