Running Qwen3.8 at 255 tok/s on a single 5090 (meshapplied.com)

Mesh Applied has announced the ability to run the advanced Qwen3.8 model at an impressive speed of 255 tokens per second on a single RTX 5090 GPU. This breakthrough follows their development of specialized techniques in post-training, quantization, and kernel optimization, aimed at enhancing the performance of open-source models on local hardware. The Qwen3.8 configuration is designed for practical everyday tasks and coding, catering to developers seeking efficient AI solutions without relying on extensive computational resources. This advancement is significant for the AI and ML community as it demonstrates the efficacy of optimizing high-performance models for local inference, which can significantly reduce latency and improve accessibility for developers and researchers. Moreover, the framework is part of a growing trend toward making powerful AI models like Qwen3.8 more user-friendly and adaptable to varying hardware capabilities. The use of such optimizations could lead to broadening the adoption of AI technologies across different industries, facilitating the development of more agile AI-powered applications.