💻 GPU Without Infrastructure Hurdles
Yandex's ML infrastructure team has introduced Dev Cluster — a service for dynamic GPU resource management. The solution allows engineers to switch between CPU development and various GPU configurations (from a single card to multiple cards) in just a few clicks, while preserving state through a Suspend mechanism.
🌍 Dev Cluster reduces the cost of AI product development by optimizing the use of expensive GPU resources and reducing equipment downtime. This represents a shift toward automated management, which is critical when scaling LLM experiments.
👤 ML engineers no longer need to spend time on complex infrastructure setup or "fighting" for resources from colleagues in chat rooms.
Source 1: https://infra.yandex.ru/ru/blog/gpu-sharing Source 2: https://www.cnews.ru/news/line/2026-06-04_yandeks_razrabotal_servis