LM Studio
Ollama
GPT4All
Jan.ai
ChatGPT
AnythingLLM
llama.cpp
Claude AI
Cloudify
OpenShift
Kubernetes
Heroku
Morpheus
Microsoft Azure
Apache Mesos
Redis
Cloudify provides infrastructure automation using ‘Environment as a Service’ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
LM Studio CloudifyBased on our record, LM Studio seems to be a lot more popular than Cloudify. While we know about 61 links to LM Studio, we've tracked only 2 mentions of Cloudify. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Download it from lmstudio.ai and install it like any normal app. - Source: dev.to / 1 day ago
I'm not sure. I don't use Mac anymore. It used to be my daily driver but they pushed me away a few years ago with the constant iOSification. I've heard good thing about LM Studio, that's about it. https://lmstudio.ai/ I just run a server with Linux (previously multiple servers but I found a way to add multiple GPUs to a single one). - Source: Hacker News / 10 days ago
Setup: fully local stack — LM Studio for inference, nomic-embed-text for embeddings, LangChain + ChromaDB for orchestration. - Source: dev.to / 12 days ago
I use Bionic (https://lmstudio.ai) and various local models like Qwen Coder Next to work on various tasks. Honestly, none of the models that are runnable on a typical MacBook Pro come close to the cloud-based frontier models (open or closed) but Bionic provides a nice experience and makes trying new models out trivial. - Source: Hacker News / about 1 month ago
They hid it well at the bottom of the page: https://lmstudio.ai/. - Source: Hacker News / about 2 months ago
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 4 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 4 years ago
Ollama - The easiest way to run large language models locally
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
GPT4All - A powerful assistant chatbot that you can run on your laptop
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAI’s GPT-4 or Groq.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.