Search Results for "lxc"
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Showing 2 open source projects for "lxc"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Proxmox
Proxmox VE Helper-Scripts
...By automating repetitive and complex tasks, the project helps homelab enthusiasts, self-hosters, and system administrators save time while ensuring consistency in their Proxmox environments. Users can quickly spin up Linux containers (LXC) or full VMs with tailored options, making the project valuable for both newcomers and experienced Proxmox users. Though the repository has been archived, its development continues at a new community home, ensuring the scripts remain actively maintained. -
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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
...Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers.
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