Mirendil is live on TPU v5P accelerators; NVIDIA accelerated systems will support pre-training and post-training next.

Mirendil selected Google Cloud’s AI Hypercomputer infrastructure for model pre-training and post-training. The environment combines Google tensor processing units—AI accelerators known as TPUs—with NVIDIA’s full-stack accelerated-computing platform.

Mirendil is already operating a cluster of TPU v5P chips, while NVIDIA AI accelerated-computing systems are scheduled to come online subsequently. Google Cloud did not disclose the number of TPU chips or NVIDIA GPUs in its announcement.

Google and Mirendil jointly designed the compute, storage, networking and control-plane environment. They also developed a system using managed training clusters in the Gemini Enterprise Agent Platform to provision and manage both TPU and GPU environments.

Mirendil said its work includes end-to-end training workflows, from initial model pre-training through post-training, as well as reinforcement learning. A separate Telegram report characterized the Google Cloud agreement as worth upward of $100 million.