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An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

A Go package built to communicate with Apache TinkerPop™ Graph computing framework using Gremlin; a graph traversal language used by graph databases such as JanusGraph®, MS Cosmos DB, AWS Neptune, and DataStax® Enterprise Graph.