Kubernetes LLM Operator

What it does

Don't let security and privacy concerns stop innovation. Deploy your own private LLM to your Kubernetes cluster. In the cloud, on premise, on the edge. Just install the helm chart, and deploy your LLM. It only takes a few minutes.

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  Continuous Deployment by Plural2023 · plural.sh · ▲170

  Deploy applications to any Kubernetes environment at scale

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  Own your Kubernetes: installation, addons, best practices – as code2019 · github.com · ▲122

  Fully fledged (HA) Kubernetes Cluster using official kubeadm, ansible and helm. Tested on RHEL/CentOS/Ubuntu with support of http_proxy, dashboard installed, ingress controller, heapster - using official helm charts - ReSearchITEng/kubeadm-playbook

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  LLMWare2024 · llmware.ai · ▲358

  Dev tool to make AI apps to deploy privately or locally

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  Nitric Deploy2022 · nitric.io · ▲197

  The right infrastructure, auto-provisioned in your cloud

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  KubernsJul 2026 · kuberns.com · ▲40

  The AI agent that deploys and manages your cloud

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  OuterSpace Operator2023 · operator.outerspace.sh · ▲80

  Operate your algorithms on Kubernetes with ease

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 18d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 18d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 22d ago · stillwet.art

• 
  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 5d ago · beam.win

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  FastRouter.ai▲364

  Route requests to the right LLM for cost, latency & quality

  AI · 23d ago · fastrouter.ai

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  I built a hardware processor that runs Python▲983

  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

  Dev tools · 2025 · runpyxl.com

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  Unsure Calculator – back-of-a-napkin probabilistic calculator▲930

  The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

  Life & fun · 2025 · filiph.github.io

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  I built an AI that turns GitHub codebases into easy tutorials▲923

  https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

  AI · 2025 · github.com

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  Whatting▲898

  The iPad diary, just for you

  Work · 2025 · whatting.com

• 
  Strawberry▲859

  Browser with AI companions that automate web tasks

  AI · 2025 · strawberrybrowser.com

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  Peek▲828

  AI personal finance coach that guides you through decisions

  Work · 2025 · peek.money