Mixture-of-Experts

Key Highlights The top 10 most intelligent open-source models use a mixture-of-experts (MoE) architecture MoE models achieve higher intelligence and adaptability without a proportional increase in computational cost NVIDIA GB200 NVL72 delivers a 10x performance leap for MoE models like Kimi K2 Thinking and DeepSeek-R1 The AI landscape is undergoing a significant transformation, driven by the adoption of the mixture-of-experts (MoE) architecture. This move reflects broader industry trends towards more efficient and scalable AI designs. By mimicking the human brain’s ability to activate specific regions for different tasks, MoE models are revolutionizing the way AI systems are built and deployed. Mixture-of-experts is becoming the go-to architecture for frontier models, and its impact is being felt across the industry. ...

Key Highlights Kimi K2 is a large language model with 32 billion activated parameters and 1.04 trillion total parameters. The model achieves state-of-the-art results on benchmarks testing reasoning, coding, and agent capabilities. Kimi K2 is released as an open-source model, positioning it as a contender in the open-source model space. The release of Kimi K2 reflects broader industry trends towards developing more advanced and accessible AI models. As the demand for AI-powered solutions continues to grow, the need for open-source models that can be easily integrated into various applications becomes increasingly important. Kimi K2’s Mixture-of-Experts architecture and large parameter count make it an attractive option for developers looking to leverage AI in their projects. ...