High-performance C++/CUDA engine for Qwen3.8-27B on RTX 4090.
Project details
NInfer-4090 is a cutting-edge C++/CUDA engine tailored for Qwen3.8-27B, achieving impressive speeds of up to 3,600 tokens per second. Built from scratch specifically for the NVIDIA GeForce RTX 4090, it eliminates the need for other frameworks, optimizing performance for efficient AI application development with broad compatibility.
NInfer-4090 is a cutting-edge C++20/CUDA inference engine designed specifically to run the Qwen3.8-27B language model on a single 24 GB NVIDIA GeForce RTX 4090. Built from the ground up, this engine operates independently of frameworks like PyTorch or TensorRT, ensuring optimal performance tailored to the architecture of the RTX 4090.
High Performance, Low Latency: Experience incredibly fast token generation rates with
Streamlined Compatibility: NInfer-4090 seamlessly integrates with a variety of coding agents via OpenAI and Anthropic APIs, while caching mechanisms optimize long conversation flows, dramatically enhancing efficiency.
Adaptive LoRA Adapters: Support for per-request LoRA adapters allows users to select model variations dynamically, facilitating customized runs without the overhead of weight merging or complex reloads.
Dual Decision APIs: The engine supports both OpenAI and TypeSafe System One decision APIs, enabling real-time probability outputs for complex reasoning with minimal latency.
Any Coding Agent Compatibility: NInfer can serve any coding agent requiring access to OpenAI or Anthropic communications, making it versatile for diverse applications in AI-driven tasks.
Best Performance with Caudra: While it works with any agent, optimal functionality is achieved when paired with the Caudra application, which showcases the live prefill rates, enhances cached state routing, and leverages a local decision engine.
# Start the NInfer server in a Docker container
docker run --rm --gpus all --publish 8080:8080 \
--volume ninfer-continuations:/var/cache/ninfer \
ninfer-4090:sm89
# Send a simple completion request
curl -s http://127.0.0.1:8080/v1/chat/completions -H 'content-type: application/json' -d '{"model": "qwen3.8-27b", "enable_thinking": false, "messages": [{"role": "user", "content": "Say hello in five words."}]}'
NInfer-4090 stands out as a powerful tool for developers and researchers working with large language models, offering unprecedented performance metrics, flexibility in the deployment of AI solutions, and straightforward integration with existing agent frameworks.
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