Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

The pace of innovation in open-source AI is breathtaking, but deploying and optimizing large models can be complex and resource-intensive. Developers need reproducible, verified recipes to try out models on available accelerators. The AI Hypercomputer platform provides enhanced support and new optimized recipes for the latest Llama4 and DeepSeek models. The platform helps build a strong AI infrastructure foundation using a set of purpose-built infrastructure components designed to work well together for AI workloads. The AI Hypercomputer resources repository on GitHub continues to grow, providing access to these recipes. New recipes have been added for serving Llama4 models on Google Cloud Trillium TPUs and A3 Mega and A3 Ultra GPUs. Similarly, new recipes have been added for serving DeepSeek models on Google Cloud Trillium TPUs and A3 Mega and A3 Ultra GPUs. These recipes provide a starting point for deploying and experimenting with Llama4 models on Google Cloud. Developers can deploy Llama4 Scout and Maverick models or DeepSeekV3/R1 models today using inference recipes from the AI Hypercomputer Github repository.