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Key Features

  1. Seamless Container Management and Orchestration: OuterSpace OS is compatible with container technologies like Docker and supports orchestration platforms like Kubernetes. This gives you the freedom to manage your applications at scale, without worrying about the underlying complexities.

  2. P2P Image Distribution System: OuterSpace OS integrates an efficient P2P image distribution system. Whether you're dealing with a handful of images or a large-scale, containerized deployment, OuterSpace OS ensures efficient distribution and availability of your images.

  3. In-built Hardware Acceleration Support: We understand the importance of speed in Machine Learning computations. That's why OuterSpace OS supports hardware accelerations like GPUs, right out of the box.

  4. Ready for Machine Learning: Our OS comes pre-loaded with up-to-date OS Kernel libraries and frameworks required by TensorFlow and PyTorch. Spend less time setting up your environment and more time creating effective Machine Learning models.

  5. Strong Security and Privacy: OuterSpace OS protects the integrity and confidentiality of your data - a priority for Machine Learning workloads.

  6. Immutability and Atomic Updates: OuterSpace OS incorporates an immutable file system and atomic update mechanism. This means greater system reliability and minimized downtime during system updates.

  7. Simplified, Lean Structure: OuterSpace OS follows a lean approach, including only necessary services. It's a lean, robust operating system, free from unnecessary complexities and perfectly suited for Machine Learning workloads.