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49–72 of 85 · Most stars

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 Flask extension to access, upload, download, save and delete files on cloud storage providers such as: AWS S3, Google Storage, Microsoft Azure, Rackspace Cloudfiles, and even Local file system

High-performance configuration management framework for Go applications with zero-allocation performance, universal format support (JSON, YAML, TOML, HCL, INI, Properties), and an ultra-fast CLI powered by Orpheus.

S3FS-C is a FUSE (File System in User Space) based file system backed by Amazon S3 storage buckets. Once mounted, S3 can be used just like it was a local file system. This project was forked from S3FS (http://code.google.com/p/s3fs/) release 1.59 and being rewritten to be compatible with other S3 clients such as s3cmd, AWS Management Console, etc.

Don't install Node, Go, ... locally - use containers you define within your project. If you have a new machine / other contributors you just have to install docker and envcli to get started.

Poco will help you to organise and manage Docker, Docker-Compose, Kubernetes, Openshift projects of any complexity using simple YAML config files to shorten the route from finding your project to initialising it in your local environment.

Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.

Download Medium posts as clean Markdown, preserving structure, images, links, code blocks, and common embeds for plain Markdown or Jekyll workflows.

Overhead allocators, allocator-aware containers and lifetime management for D objects

MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.