# genv GPU sharing & environment management. Source: [Console review]() Website: [https://genv.dev/]() Profile updated: 2026-10-16 Category: [Infrastructure automation]() ## Supported tech stack Research checked: 2026-10-11 ### Integrates with - CUDA (Integration) - Ollama (Integration) - Python (Language) Source: [Research source]() Documented compatibility; coverage may be incomplete. Written in describes implementation, not user-project language support. GPU environment manager installs from Python packaging and explicitly integrates Ollama and NVIDIA GPU tooling. ## Console’s review — 2023-10-19 Reviewed: 2023-10-19 Author: [David Mytton]() Citation: [This review]() ### What we like CLI to help manage and share GPUs. Share GPUs on your machine and manage remote machines. Find available GPUs across a pool of resources and reserve them for your own use. Monitor usage and pipe metrics to Prometheus or Grafana. Access GPUs from containers. Supports over subscribing resources. Integrates with VSCode, Jupyter and other IDEs. ### Tradeoffs It’s a management tool so needs to be installed across your fleet for everyone to use. Distributed as a Python tool rather than a single binary. This review reflects Console’s assessment at publication on 2023-10-19. Features and limitations may have changed since the review date. ## Is genv a fit? Based on [Console’s review published on 2023-10-19](). Summary updated: 2026-10-16 ### Who it’s for Developers who need to manage and share GPUs across multiple machines ### Why consider it Allows users to find and reserve available GPUs across a pool of resources ### Keep in mind Requires installation across the entire fleet and is distributed as a Python tool rather than a single binary [Selection criteria]() · [About Console]() · [Browse tools]()