
Ollama
LM Studio
Hugging Face
Jan.ai
GPT4All
Claude AI
LangChain
Groq Chat
OpenStack
Linode
DigitalOcean
Microsoft Azure
Amazon EC2
Vultr
Bluehost
Google Compute Engine
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
OpenStack is particularly recommended for large enterprises, organizations with skilled IT teams, academic institutions, and service providers that need a highly customizable and scalable cloud solution. It's also a great fit for entities with specific compliance requirements or those that need to run a private cloud with tailored configurations.
Based on our record, Ollama seems to be a lot more popular than OpenStack. While we know about 298 links to Ollama, we've tracked only 2 mentions of OpenStack. 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.
Python 3.10 or newer, and Ollama, which runs open models on your own machine. Install Ollama, then pull a model that knows how to call tools:. - Source: dev.to / about 10 hours ago
This architecture ensures that your files and local environment remain yours, although your prompts are transmitted to the provider. For developers concerned about privacy, it is essential to note that OpenRouter maintains specific documentation regarding the privacy policies of their free-tier models. If your requirements necessitate zero external data flow, Hermes Agent is compatible with Ollama, vLLM, and... - Source: dev.to / about 14 hours ago
Head to ollama.com and install it for your platform. Then pull a model:. - Source: dev.to / 3 days ago
Ollama is a tool that makes it easier to download and run local AI models. - Source: dev.to / 4 days ago
Run that against a local model first, using Ollama, so you learn the tool's output format without burning API spend or tripping someone's abuse detection. - Source: dev.to / 8 days ago
In my first post, I looked into what is OpenStack and how, if done right, can be quite a powerful ally in our cloud deployment strategies. In this post, I want to start looking at how we can create an application to learn the basics and components of the system. - Source: dev.to / over 5 years ago
While searching for solutions and documentation on the various problems I've come across, I would often see references to OpenStack and it got my curiosity going. What is OpenStack? What services does it offer and who owns it? How do I learn to use it? What are it's costs and limitations? - Source: dev.to / over 5 years ago
LM Studio - Discover, download, and run local LLMs
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
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.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.