SynthGen is a framework designed for high-performance LLM inference through parallel processing. Built with a focus on speed, scalability, and observability, SynthGen provides enterprise-grade capabilities for handling large-scale LLM tasks.
Features
High-Performance Parallel Processing
Process thousands of LLM inference tasks concurrently across multiple workers using a distributed architecture, leveraging Rust for maximum throughput and minimal latency.
Advanced Caching System
Automatically cache and reuse responses for identical prompts to reduce API costs, with Elasticsearch-backed caching ensuring consistency across all workers.
Full Observability
Comprehensive metrics and detailed logging provide complete system transparency, with performance dashboards for real-time system analysis.
Rust-Powered Consumer
Implemented in Rust for optimal performance, offering memory safety and a low overhead, with async processing for maximum throughput.
Flexible Integration
Integrate seamlessly with modern APIs, multiple LLM providers, and various storage backends like Elasticsearch and MinIO.