Alternatives
Products that do what OMNIDEPLOY does
The AI infrastructure OS deploy any model to any cloud
- 1
- 2
- 3
- 4
- 5
- 6
- 7
Simulate AWS, GCP & DigitalOcean without paying the bill
Jun 2026 · cloudworldmodel.ai
- 8
- 9
Seven years in the making (I admit that I did get a kid at some point which slowed down progress and brought it to a halt quite a few times), I decided to finaly release it, with a rather drastic change to the now (I believe) generous licensing model. Unlike current major players in this field, I decided to go with uncrippled, free version for commercial use for corps with up to 1M USD ARR. I poured my heart and soul into this, not because I was looking for financial success, but because I felt it just had to be done, given the price hikes wherever you look today. While my wife and kid were…
12d ago · fdeploy.com
- 10IB
Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom…
2023 · github.com
- 11
- 12
- 13
Skip the setup and run OpenClaw & Hermes, fully managed
17d ago · cloudways.com
- 14
- 15RL
Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image. We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that. Imagine if you are a…
2023 · lepton.ai
- 16
- 17
- 18RA
Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
2025 · okteto.com
- 19
- 20
- 21
- 22TF
Hey HN, Zach here, cofounder of Coherence (withcoherence.com). After over two years supporting customers deploying apps to AWS and GCP we’ve come to the conclusion that developers really want to own the customization and configurability that the public cloud provides without having to write and maintain all the glue code that goes with it. That’s why we’re launching CNC (https://github.com/coherenceplatform/cnc), an open-source framework that equips developers with the right tools to deploy applications with precision. Rooted in the principles of Infrastructure as Code…
2024 · cncframework.com
- 23
- 24HA
Demo starts at 50m into the video. This was a bit terrifying to record because 2am the previous night everything was totally broken after a major refactor (so that we could add external LLM support as well as local GPUs). But pressure can be a useful force :-D We start with a stack deployed on my laptop without a GPU, pointing to together.ai so we can run open source LLMs easily without having to have access to a GPU. We show simple inference through the ChatGPT-like web interface (with users, sessions etc) and then simple drag'n'drop RAG. Then we show some helix apps defined as yaml: Marvin…
2024 · youtube.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →