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Groq ChatOpenStack 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.
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Based on our record, Groq Chat seems to be a lot more popular than OpenStack. While we know about 35 links to Groq Chat, 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.
We built a Customer Support Assistant using Next.js and Groq for AI inference. The application does not call a provider directly. Its baseURL points to Bifrost, and the Bifrost Virtual Key identifies the workload, with the API key credential entered in the Bifrost dashboard. - Source: dev.to / 15 days ago
We send the question + a compact JSON summary of the user's profile to Llama 3.3 70B (via Groq for latency — <400ms P95). The system prompt forces a specific output format: {answer: "3", confidence: 0.9} for numeric inputs, {answer: "Yes"} for booleans. Confidence < 0.7 means the bot skips the question (asks the user next session), rather than lie to LinkedIn. - Source: dev.to / about 2 months ago
This is the architecture post-mortem. I built it on weekends. It runs in Docker. It cost me exactly $0 in LLM credits during development because Groq's free tier is generous and Ollama works as a swap-in. The repo is here — issues and PRs welcome. - Source: dev.to / 3 months ago
Intelligence Engine: Groq API (Utilizing Llama-3-70b for lightning-fast inference). - Source: dev.to / 4 months ago
A Python-based AI customer support agent that retains memory across sessions using Hindsight — an agent memory system built by Vectorize. The agent runs on Groq for fast, free LLM inference. - Source: dev.to / 4 months 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
OpenAI - GPT-3 access without the wait
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Ollama - The easiest way to run large language models locally
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.